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Paper Citation Record · LEDGER

Rescaled Asynchronous SGD: Optimal Distributed Optimization under Data and System Heterogeneity

As of 4 August 2026, this Paper Citation Record lists 100 of 300 outbound references and 2 inbound Pith citation observations for arXiv:2605.13434.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2605.13434 v1

Coverage vector

measured 100 of 300 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-14T19:31:12.149482Z

measured 102 of 102 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-21T05:49:28.713982Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-05-21T05:49:40.680456Z

Reference resolution

100 of 300 outbound references displayed

  • verified exact67
  • verified fuzzy13
  • unresolved2
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch18

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c0b884c7-a231-44b6-9cc8-f27ad45ce14e · outbound

This paper cites Federated Learn- ing: Challenges, Methods, and Future Directions.

Rescaled Asynchronous SGD: Optimal Distributed Optimization under Data and System Heterogeneity Federated Learn- ing: Challenges, Methods, and Future Directions

Reference 1

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metadata mismatch
arxiv_id, observed 2026-05-14T19:32:51.083963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-14T19:31:12.149482Z digest=sha256:03b334bd6e5966335e8b2a509fd8193429f131c027adea123df074cfbef0748a

Observation b6828058-2278-4f4b-a107-59abbecb2e3f · outbound

This paper cites Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification.

Rescaled Asynchronous SGD: Optimal Distributed Optimization under Data and System Heterogeneity Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

Reference 2

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arxiv_id, observed 2026-05-17T17:37:07.837719Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation e4910848-c0b1-4901-a190-8d5eab5cae47 · outbound

This paper cites arXiv.org , author =.

Rescaled Asynchronous SGD: Optimal Distributed Optimization under Data and System Heterogeneity arXiv.org , author =

Reference 3

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arxiv_id, observed 2026-05-14T19:32:51.117476Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation ca69f770-24ae-42f0-9231-8d726e0ca2b4 · outbound

This paper cites LEAF: A Benchmark for Federated Settings.

Rescaled Asynchronous SGD: Optimal Distributed Optimization under Data and System Heterogeneity LEAF: A Benchmark for Federated Settings

Reference 4

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arxiv_id, observed 2026-05-14T19:32:50.974210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-14T19:31:12.149482Z digest=sha256:3defbb4e13784ebecf28a98cfc388c24514b28e68da21e6b258dc247a8939cec

Observation 2319192a-bfac-45ca-b020-96e8b6b2384f · outbound

This paper cites arXiv.org , author =.

Rescaled Asynchronous SGD: Optimal Distributed Optimization under Data and System Heterogeneity arXiv.org , author =

Reference 5

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raw_fallback, observed 2026-05-15T18:20:15.411970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-14T19:31:12.149482Z digest=sha256:8a9dff7e1c1df2b91f9d8882a7a07f9252c9e88e6913908609046f33853293aa

Observation 27489246-a981-491e-b64b-9012504086b6 · outbound

This paper cites Cauchy activation function and XNet.

Rescaled Asynchronous SGD: Optimal Distributed Optimization under Data and System Heterogeneity Cauchy activation function and XNet

Reference 6

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arxiv_id, observed 2026-05-14T19:32:50.847987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-14T19:31:12.149482Z digest=sha256:ed562a6306dc78f42c51efc501cbd7eee32925f0a3d8798c5054ebb988957905

Observation 7ca0c031-a533-4b52-8130-5fbaa32c8d13 · outbound

This paper cites Bender, Timnit Gebru, Angelina McMillan-Major, and Shmargaret Shmitchell.

Rescaled Asynchronous SGD: Optimal Distributed Optimization under Data and System Heterogeneity Bender, Timnit Gebru, Angelina McMillan-Major, and Shmargaret Shmitchell

Reference 7

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arxiv_id, observed 2026-05-14T19:32:51.097718Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-05-14T19:31:12.149482Z digest=sha256:187a4729d6a6e728c3d23acee0a3a5dfb16beadfdc311c29590bcfc2da08a900

Observation 1da91dc8-2705-4646-9ee4-3e985c2b79ee · outbound

This paper cites Second-Order Optimization for Non-Convex Machine Learning: An Empirical Study.

Rescaled Asynchronous SGD: Optimal Distributed Optimization under Data and System Heterogeneity Second-Order Optimization for Non-Convex Machine Learning: An Empirical Study

Reference 8

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local_arxiv, observed 2026-05-14T19:32:51.070678Z

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source=arxiv_source observed=2026-05-14T19:31:12.149482Z digest=sha256:e5bb989e2d6559d25af7a617667e6ad47de86e20edbdbf0832d5aa49382a2e10

Observation e47e9698-558f-4706-bcac-6482d38b0ce2 · outbound

This paper cites Tuning-Free Stochastic Optimization.

Rescaled Asynchronous SGD: Optimal Distributed Optimization under Data and System Heterogeneity Tuning-Free Stochastic Optimization

Reference 9

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verified exact
arxiv_id, observed 2026-05-14T19:32:50.914895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-14T19:31:12.149482Z digest=sha256:015a88270fef5388c25dfe5d39ad9d6d8f11bf7e26ff80bbe9143a2ec2eb4992

Observation 10ca5428-3f90-476e-a134-8bcade1cfbf3 · outbound

This paper cites Towards stability and optimality in stochastic gradient descent.

Rescaled Asynchronous SGD: Optimal Distributed Optimization under Data and System Heterogeneity Towards stability and optimality in stochastic gradient descent

Reference 10

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local_arxiv, observed 2026-05-14T19:32:50.927176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation decb05f8-3487-4961-8a4c-48eb8ab0bc8c · outbound

This paper cites EMNIST: an extension of MNIST to handwritten letters.

Rescaled Asynchronous SGD: Optimal Distributed Optimization under Data and System Heterogeneity EMNIST: an extension of MNIST to handwritten letters

Reference 11

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local_arxiv, observed 2026-05-14T19:32:51.124470Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-14T19:31:12.149482Z digest=sha256:cfd7e4e1b73f6ac40c6af9646867efa45acf512dbed746746e3f287a48386627

Observation 9b33b14c-bf0f-477f-ab68-4834f6997306 · outbound

This paper cites NysADMM: faster composite convex optimization via low-rank approximation.

Rescaled Asynchronous SGD: Optimal Distributed Optimization under Data and System Heterogeneity NysADMM: faster composite convex optimization via low-rank approximation

Reference 12

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arxiv_id, observed 2026-05-14T19:32:51.192652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-14T19:31:12.149482Z digest=sha256:1f1786edec96b40f4005e052ca95f991f7ce0a959dddd2974638c45dfec9cc10

Observation db2879e4-299f-4938-8b01-20e1ea790065 · outbound

This paper cites Descending through a Crowded Valley - Benchmarking Deep Learning Optimizers.

Rescaled Asynchronous SGD: Optimal Distributed Optimization under Data and System Heterogeneity Descending through a Crowded Valley - Benchmarking Deep Learning Optimizers

Reference 13

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arxiv_id, observed 2026-05-14T19:32:51.131451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-14T19:31:12.149482Z digest=sha256:e36e3e95ae85804f3e8922b1796a8c734e2425167d59068270ee7fc851b9ed81

Observation cb594c10-b215-4bf9-a46e-8d1b69e8adc5 · outbound

This paper cites Optimizer.

Rescaled Asynchronous SGD: Optimal Distributed Optimization under Data and System Heterogeneity Optimizer

Reference 14

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arxiv_id, observed 2026-05-14T19:32:51.050193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-14T19:31:12.149482Z digest=sha256:d899b085782ebf3342ce422d702b657a954c45bd59fa170302dd23c58292feb6

Observation 3f40fb9a-ff69-40ec-8259-534f375081d2 · outbound

This paper cites Google for Developers , file =.

Rescaled Asynchronous SGD: Optimal Distributed Optimization under Data and System Heterogeneity Google for Developers , file =

Reference 15

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raw_fallback, observed 2026-05-15T18:20:15.437868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-14T19:31:12.149482Z digest=sha256:0e1979f243e315dfab108c6a8a426095f7b1339fe4bcc400996e76f7f9c5dd90

Observation c77406c6-a5b7-445e-aea8-ad8903b4b582 · outbound

This paper cites Statistical.

Rescaled Asynchronous SGD: Optimal Distributed Optimization under Data and System Heterogeneity Statistical

Reference 16

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raw_fallback, observed 2026-05-15T18:20:15.407374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-14T19:31:12.149482Z digest=sha256:1c43011da880864aa5fa6c17e16026b0305c9fe421957b936ee8c5c20881510b

Observation 19b1b246-dcee-4948-a212-c16c80316dcc · outbound

This paper cites Incremental.

Rescaled Asynchronous SGD: Optimal Distributed Optimization under Data and System Heterogeneity Incremental

Reference 17

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verified fuzzy
raw_fallback, observed 2026-05-15T18:20:15.433294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-14T19:31:12.149482Z digest=sha256:c3ec5ec373294ee295f3b74432acc228161ed5f6cd05d98c5360e86224fc7779

Observation d0d3b669-e90c-4a7f-883b-d1b9d75c1624 · outbound

This paper cites Proceedings of the 36th.

Rescaled Asynchronous SGD: Optimal Distributed Optimization under Data and System Heterogeneity Proceedings of the 36th

Reference 18

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raw_fallback, observed 2026-05-15T18:20:15.424085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-14T19:31:12.149482Z digest=sha256:6a38d9e044e9b2693dcf6eccf34de8bbbaa9a80c2512fdb54f55dc90607ae87d

Observation 7fc0fb91-ac22-44ec-b2d4-d7aef9bd5ade · outbound

This paper cites Dual-Delayed Asynchronous SGD for Arbitrarily Heterogeneous Data.

Rescaled Asynchronous SGD: Optimal Distributed Optimization under Data and System Heterogeneity Dual-Delayed Asynchronous SGD for Arbitrarily Heterogeneous Data

Reference 19

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verified exact
arxiv_id, observed 2026-05-14T19:32:51.036392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-14T19:31:12.149482Z digest=sha256:a155c75bd4031efafc7a7aa522cadf913a3683d7adb32b6329214a3a687ea476

Observation 86f9c3f5-b759-4856-929d-b70f0aa09ded · outbound

This paper cites Visualizing the Loss Landscape of Neural Nets.

Rescaled Asynchronous SGD: Optimal Distributed Optimization under Data and System Heterogeneity Visualizing the Loss Landscape of Neural Nets

Reference 20

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verified exact
local_arxiv, observed 2026-05-14T19:32:51.218079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-14T19:31:12.149482Z digest=sha256:6acc202312a32413cf719e2573e3596bc74445d742a17450613db0830fb31aab

Observation 7f865fda-327b-4f2d-a4e5-b3a5cfaf1fb9 · outbound

This paper cites Attention is not Explanation.

Rescaled Asynchronous SGD: Optimal Distributed Optimization under Data and System Heterogeneity Attention is not Explanation

Reference 21

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local_arxiv, observed 2026-05-14T19:32:51.017838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-14T19:31:12.149482Z digest=sha256:93a55328897ad7289d4706ecd08a2764b96224885f62973aafd9d3ef3f747555

Observation a129b1a2-efaf-4a01-99cb-56859ea04da1 · outbound

This paper cites Understanding deep learning requires rethinking generalization.

Rescaled Asynchronous SGD: Optimal Distributed Optimization under Data and System Heterogeneity Understanding deep learning requires rethinking generalization

Reference 22

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local_arxiv, observed 2026-05-14T19:32:51.012038Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-14T19:31:12.149482Z digest=sha256:37d29dff87fe770925c6d082f3fb55005c6923a297f49a93e37beda0ef35acf3

Observation e4590b28-abec-49b3-b43f-d28a15d96b44 · outbound

This paper cites Deep Reinforcement Learning that Matters.

Rescaled Asynchronous SGD: Optimal Distributed Optimization under Data and System Heterogeneity Deep Reinforcement Learning that Matters

Reference 23

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local_arxiv, observed 2026-05-14T19:32:51.156278Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-14T19:31:12.149482Z digest=sha256:9b904e30eb318d287804e1bbd54def9835cc8762a432732029143104b8726148

Observation 2b3416d0-6eb1-4353-af49-4850300d9533 · outbound

This paper cites Convex Optimization: Algorithms and Complexity.

Rescaled Asynchronous SGD: Optimal Distributed Optimization under Data and System Heterogeneity Convex Optimization: Algorithms and Complexity

Reference 24

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local_arxiv, observed 2026-05-14T19:32:50.825536Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-14T19:31:12.149482Z digest=sha256:a864567866e42cfb7e2f9637fb9b24e6a3fbe719468f9d8cb4d0bb2970f7fa96

Observation b495e28e-6b6f-462c-a672-55d8a719e78f · outbound

This paper cites an unresolved cited work.

Rescaled Asynchronous SGD: Optimal Distributed Optimization under Data and System Heterogeneity Unresolved cited work

Reference 25

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unresolved
raw_fallback, observed 2026-05-15T18:20:15.416035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-14T19:31:12.149482Z digest=sha256:059ced9611615526564c7eac04111391094b9f5a95a42e2f3e3d55eaab65ed01

Observation f368783a-3c02-4b02-8fd8-8f111a00a1dd · outbound

This paper cites Random Reshuffling: Simple Analysis with Vast Improvements.

Rescaled Asynchronous SGD: Optimal Distributed Optimization under Data and System Heterogeneity Random Reshuffling: Simple Analysis with Vast Improvements

Reference 26

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arxiv_id, observed 2026-05-14T19:32:51.186443Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-14T19:31:12.149482Z digest=sha256:8f7f9baeaed7d4f00f3f721980aa0a2fbd566ab175851826ec8f926cbcdb4812

Observation 914aff39-898f-4c4c-aa41-20dd1242ab57 · outbound

This paper cites KAN: Kolmogorov-Arnold Networks.

Rescaled Asynchronous SGD: Optimal Distributed Optimization under Data and System Heterogeneity KAN: Kolmogorov-Arnold Networks

Reference 27

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local_arxiv, observed 2026-05-14T19:32:50.877699Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-14T19:31:12.149482Z digest=sha256:6a7a5e6bf8cafdce52ef0ef73c1259bb856b34e7b0b2764a249b50e45b8d9c72

Observation 2b7af334-f092-4521-b956-d136deb1ff76 · outbound

This paper cites Muon and a.

Rescaled Asynchronous SGD: Optimal Distributed Optimization under Data and System Heterogeneity Muon and a

Reference 28

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raw_fallback, observed 2026-05-15T18:20:15.420196Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-14T19:31:12.149482Z digest=sha256:7d6ab79ca29fbd7367fdc1e7e7c6ead40cfcf7ce97e455addb889d8146aebb4d

Observation 3afd9945-c6f3-466b-9c8a-6adb9e1bf5fd · outbound

This paper cites month = sep, year =.

Rescaled Asynchronous SGD: Optimal Distributed Optimization under Data and System Heterogeneity month = sep, year =

Reference 29

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arxiv_id, observed 2026-05-14T19:32:51.198928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-14T19:31:12.149482Z digest=sha256:d5371dc44f2c4456bfc764bb6ebebb23aa89bb9aefc52bb0fdda5253dd2cfdff

Observation 87b124fe-6f71-4176-bbe9-74c789da9e5f · outbound

This paper cites Old Optimizer, New Norm: An Anthology.

Rescaled Asynchronous SGD: Optimal Distributed Optimization under Data and System Heterogeneity Old Optimizer, New Norm: An Anthology

Reference 30

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arxiv_id, observed 2026-05-16T07:27:53.041705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-14T19:31:12.149482Z digest=sha256:0e840e9108e517904e9c36b2ba86a58a58861a688e4fd164e7d7ffc35a7e2cb3

Observation cb91b6c0-acc8-40a2-8662-1e33fc29bd50 · outbound

This paper cites SWARM Parallelism: Training Large Models Can Be Surprisingly Communication-Efficient.

Rescaled Asynchronous SGD: Optimal Distributed Optimization under Data and System Heterogeneity SWARM Parallelism: Training Large Models Can Be Surprisingly Communication-Efficient

Reference 31

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arxiv_id, observed 2026-05-14T19:32:51.205903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-14T19:31:12.149482Z digest=sha256:4762b0f686bec665969ef70ef86b4d3ffc8b5898b8bfa891dade862bf72e93ec

Observation 5883819f-1012-4d65-a32d-7cdeca1deba4 · outbound

This paper cites Benchmarking Optimizers for Large Language Model Pretraining.

Rescaled Asynchronous SGD: Optimal Distributed Optimization under Data and System Heterogeneity Benchmarking Optimizers for Large Language Model Pretraining

Reference 32

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arxiv_id, observed 2026-05-14T19:32:50.855805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-14T19:31:12.149482Z digest=sha256:34d3b5d37b5007dba1dce2dae4030139f3a3509591083c048896b45be6ad7ec7

Observation 19f8f923-f56f-4293-b859-9341db3efe41 · outbound

This paper cites Asgo: Adaptive structured gradient optimization.arXiv preprint arXiv:2503.20762.

Rescaled Asynchronous SGD: Optimal Distributed Optimization under Data and System Heterogeneity Asgo: Adaptive structured gradient optimization.arXiv preprint arXiv:2503.20762

Reference 33

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arxiv_id, observed 2026-05-14T19:32:51.167559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-14T19:31:12.149482Z digest=sha256:bc74ace806ab9dc5f3d9ff93e946c897fd64ef87fa81cf265525a1419fc7ebdf

Observation f5ac0c38-5e05-4f2f-a884-c2e7dc1cb421 · outbound

This paper cites Error Feedback under $(L_0,L_1)$-Smoothness: Normalization and Momentum.

Rescaled Asynchronous SGD: Optimal Distributed Optimization under Data and System Heterogeneity Error Feedback under $(L_0,L_1)$-Smoothness: Normalization and Momentum

Reference 34

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arxiv_id, observed 2026-05-14T19:32:50.946949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-14T19:31:12.149482Z digest=sha256:6aa02de01e493b5d9035a0a43c21c378c7aa80ddffb534a61d9cc5d7e340e7d0

Observation a5cccbcc-3b97-4309-9bab-3b69f59010e3 · outbound

This paper cites Learning representations by back-propagating errors , language =.

Rescaled Asynchronous SGD: Optimal Distributed Optimization under Data and System Heterogeneity Learning representations by back-propagating errors , language =

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T18:20:15.429640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-14T19:31:12.149482Z digest=sha256:df09e41b453e3159ff3dd858e011aade55553ec8b1333758a0737db1939a3b07

Observation 00ab894a-1f0b-45be-b399-5e9b1563c840 · outbound

This paper cites 1-bit stochastic gradient descent and its application to data-parallel distributed training of speech.

Rescaled Asynchronous SGD: Optimal Distributed Optimization under Data and System Heterogeneity 1-bit stochastic gradient descent and its application to data-parallel distributed training of speech

Reference 36

Resolution
verified exact
doi, observed 2026-05-14T19:32:51.004644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-14T19:31:12.149482Z digest=sha256:4e8d43d861edbf0da532c96539888f0ae9e965e0b3cb9e533cf8731888fc1e33

Observation 26979c78-1824-47d0-ad35-0f48b8669f3e · outbound

This paper cites Journal of Optimization Theory and Applications , author =.

Rescaled Asynchronous SGD: Optimal Distributed Optimization under Data and System Heterogeneity Journal of Optimization Theory and Applications , author =

Reference 37

Resolution
verified exact
doi, observed 2026-05-14T19:32:50.908868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-14T19:31:12.149482Z digest=sha256:57d590241983d6118ebb5ff059c9120b9cce718ff67fd8ea9a9919977767795a

Observation 3f823182-356d-4660-9618-e6dd65d51a9a · outbound

This paper cites Optimal Gradient Sliding and its Application to Distributed Optimization Under Similarity.

Rescaled Asynchronous SGD: Optimal Distributed Optimization under Data and System Heterogeneity Optimal Gradient Sliding and its Application to Distributed Optimization Under Similarity

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-05-14T19:32:50.967378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-14T19:31:12.149482Z digest=sha256:27c78c2e8dbae436b9a4d3bf1eb2229aaae884f6b81cd0eea997c39f23aec382

Observation a46ed3f6-5aa6-454f-b568-75811aef0376 · outbound

This paper cites Accelerated gradient sliding for structured convex optimization.

Rescaled Asynchronous SGD: Optimal Distributed Optimization under Data and System Heterogeneity Accelerated gradient sliding for structured convex optimization

Reference 39

Resolution
verified exact
local_arxiv, observed 2026-05-14T19:32:50.959967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-14T19:31:12.149482Z digest=sha256:b7ed05e4e0119dd1275af7114d0fba46edf2e754a4d07c5aa420bc853d61a04a

Observation 5bab8ee5-2ee1-4fab-9ac8-78a86c3c3dae · outbound

This paper cites Conditional.

Rescaled Asynchronous SGD: Optimal Distributed Optimization under Data and System Heterogeneity Conditional

Reference 40

Resolution
verified exact
doi, observed 2026-05-14T19:32:51.160293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-14T19:31:12.149482Z digest=sha256:a26bf810d1a0086ccb8ee86a031cfcda4fae9b2f1eed2ad43c418537aa6df1c2

Observation 51895891-ca4d-42d7-bd5d-f8ed033a4c66 · outbound

This paper cites Universal Conditional Gradient Sliding for Convex Optimization.

Rescaled Asynchronous SGD: Optimal Distributed Optimization under Data and System Heterogeneity Universal Conditional Gradient Sliding for Convex Optimization

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-05-14T19:32:51.111432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-14T19:31:12.149482Z digest=sha256:bcfff9bbbd06b6c18d913148563d3c625c9de1e3a5b4409b744a5e4a526daf88

Observation d6802724-3766-4fcb-9602-fe63c95295fd · outbound

This paper cites Gradient Sliding for Composite Optimization.

Rescaled Asynchronous SGD: Optimal Distributed Optimization under Data and System Heterogeneity Gradient Sliding for Composite Optimization

Reference 42

Resolution
verified exact
local_arxiv, observed 2026-05-14T19:32:50.992721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-14T19:31:12.149482Z digest=sha256:744af06ec8c6ac5e04a010429ccc19aeae89ef259bccfb2e5549c10fab8b3805

Observation a6909b94-87eb-4945-98a2-2a140ee7a8c1 · outbound

This paper cites TAMUNA: Doubly Accelerated Distributed Optimization under Partial Participation.

Rescaled Asynchronous SGD: Optimal Distributed Optimization under Data and System Heterogeneity TAMUNA: Doubly Accelerated Distributed Optimization under Partial Participation

Reference 43

Resolution
metadata mismatch
arxiv_id, observed 2026-06-09T02:05:58.627658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-14T19:31:12.149482Z digest=sha256:72fd3fc03453261d676dd6ade25aabdf005e34887cbe993c13bb7973f5d01c20

Observation 678f0e47-69ac-4c83-8867-7b1f17ff58e7 · outbound

This paper cites Can 5th Generation Local Training Methods Support Client Sampling? Yes!.

Rescaled Asynchronous SGD: Optimal Distributed Optimization under Data and System Heterogeneity Can 5th Generation Local Training Methods Support Client Sampling? Yes!

Reference 44

Resolution
verified exact
arxiv_id, observed 2026-05-14T19:32:51.063489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-14T19:31:12.149482Z digest=sha256:89335955083849d5bb14064229d6dd2bd441354903fb6dd2708db128bdeeea01

Observation 8e9d2b64-5f27-40ba-94b5-d4275d0bdfc6 · outbound

This paper cites Provably doubly accelerated federated learning: The first theoretically successful combination of local training and communication compression.

Rescaled Asynchronous SGD: Optimal Distributed Optimization under Data and System Heterogeneity Provably doubly accelerated federated learning: The first theoretically successful combination of local training and communication compression

Reference 45

Resolution
verified exact
arxiv_id, observed 2026-05-14T19:32:51.043291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-14T19:31:12.149482Z digest=sha256:bd5d6a322a122f51f4a0dc0d71c480909d467a4fd4956d2dc4cfc76997e2f949

Observation c73a6095-814c-42f3-a952-f4d8550ddc9b · outbound

This paper cites RandProx: Primal-Dual Optimization Algorithms with Randomized Proximal Updates.

Rescaled Asynchronous SGD: Optimal Distributed Optimization under Data and System Heterogeneity RandProx: Primal-Dual Optimization Algorithms with Randomized Proximal Updates

Reference 46

Resolution
verified exact
arxiv_id, observed 2026-05-14T19:32:51.105036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-14T19:31:12.149482Z digest=sha256:6749e0b0a52827f60184526990ba6047128b62395a9e4ae8faccf8b2b41fdfb3

Observation 20a6c80e-23f6-4b12-aa8c-cc0af1202ec4 · outbound

This paper cites Communication Acceleration of Local Gradient Methods via an Accelerated Primal-Dual Algorithm with Inexact Prox.

Rescaled Asynchronous SGD: Optimal Distributed Optimization under Data and System Heterogeneity Communication Acceleration of Local Gradient Methods via an Accelerated Primal-Dual Algorithm with Inexact Prox

Reference 47

Resolution
verified exact
arxiv_id, observed 2026-05-14T19:32:50.934374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-14T19:31:12.149482Z digest=sha256:e44a904a6fdee711ec683d708414c3aa81b0f1742db2a8becfdebda49f6faa52

Observation 7e390fcb-f606-41cb-8852-47470a3a54c7 · outbound

This paper cites Linear Convergence in Federated Learning: Tackling Client Heterogeneity and Sparse Gradients.

Rescaled Asynchronous SGD: Optimal Distributed Optimization under Data and System Heterogeneity Linear Convergence in Federated Learning: Tackling Client Heterogeneity and Sparse Gradients

Reference 48

Resolution
verified exact
arxiv_id, observed 2026-05-14T19:32:50.862758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-14T19:31:12.149482Z digest=sha256:a52a50348706a9be48a76f53b7e24c48040da2d056394e061fd1d12886a655ed

Observation f775e28b-1701-4a10-b6b2-76dad44aad53 · outbound

This paper cites Local SGD: Unified Theory and New Efficient Methods.

Rescaled Asynchronous SGD: Optimal Distributed Optimization under Data and System Heterogeneity Local SGD: Unified Theory and New Efficient Methods

Reference 49

Resolution
verified exact
arxiv_id, observed 2026-05-14T19:32:50.940666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-14T19:31:12.149482Z digest=sha256:dec1abfe52c3d4506bce2e441c329dea94bdfb82fb2f1eb19f537b7a93cfc9f2

Observation d1c7f7c6-d241-4e87-93fb-e696948be464 · outbound

This paper cites SCAFFOLD: Stochastic Controlled Averaging for Federated Learning.

Rescaled Asynchronous SGD: Optimal Distributed Optimization under Data and System Heterogeneity SCAFFOLD: Stochastic Controlled Averaging for Federated Learning

Reference 50

Resolution
verified exact
arxiv_id, observed 2026-05-14T19:32:50.840947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-14T19:31:12.149482Z digest=sha256:d447e9e7a57deb0d2aded0adcb50143ffccec54b0390895d8f0f209bd82bff3e

Observation 60869ca3-8758-4415-bd43-e6da6de6ad8e · outbound

This paper cites Tighter Theory for Local SGD on Identical and Heterogeneous Data.

Rescaled Asynchronous SGD: Optimal Distributed Optimization under Data and System Heterogeneity Tighter Theory for Local SGD on Identical and Heterogeneous Data

Reference 51

Resolution
verified exact
arxiv_id, observed 2026-05-14T19:32:51.179998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-14T19:31:12.149482Z digest=sha256:b69a6ea3a0fd35b6ef6d637595304c86ada19bc987948a319432df8fe2c13d59

Observation 0eb730a8-4d04-44f1-9424-75f3f3f98192 · outbound

This paper cites First Analysis of Local GD on Heterogeneous Data.

Rescaled Asynchronous SGD: Optimal Distributed Optimization under Data and System Heterogeneity First Analysis of Local GD on Heterogeneous Data

Reference 52

Resolution
verified exact
arxiv_id, observed 2026-05-14T19:32:51.211551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-14T19:31:12.149482Z digest=sha256:9b01b78e507f45535ef5e480c1d1d961ba7c6b83823d7e78273c44bd9405f0c2

Observation 37ddac67-f487-4368-81f5-643e0a28ae0c · outbound

This paper cites On the Convergence of Local Descent Methods in Federated Learning.

Rescaled Asynchronous SGD: Optimal Distributed Optimization under Data and System Heterogeneity On the Convergence of Local Descent Methods in Federated Learning

Reference 53

Resolution
verified exact
arxiv_id, observed 2026-05-14T19:32:50.921274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-14T19:31:12.149482Z digest=sha256:18867fb33a10fe0bdd8aca7bae14634647acbc9f4fa1346c68605b95d8c689e6

Observation f4371095-58cd-4f14-9add-c646f5b213fc · outbound

This paper cites On the Convergence of FedAvg on Non-IID Data.

Rescaled Asynchronous SGD: Optimal Distributed Optimization under Data and System Heterogeneity On the Convergence of FedAvg on Non-IID Data

Reference 54

Resolution
verified exact
arxiv_id, observed 2026-05-14T19:32:51.090737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-14T19:31:12.149482Z digest=sha256:92894208556bc94d3c40b4f8710845540c03c8d0df8c91d0c4455dfa049b4aa2

Observation bbec3c9c-addc-41da-9b49-a98966206c25 · outbound

This paper cites SparkNet: Training Deep Networks in Spark.

Rescaled Asynchronous SGD: Optimal Distributed Optimization under Data and System Heterogeneity SparkNet: Training Deep Networks in Spark

Reference 55

Resolution
metadata mismatch
local_arxiv, observed 2026-05-14T19:32:51.000051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-14T19:31:12.149482Z digest=sha256:40e568b524e06ece1347bbf844e68010f0c48844c7ce5a0327ec72acd7cce88c

Observation 5b2eb2fd-5f8a-4c61-b815-497b7011234f · outbound

This paper cites Parallel training of DNNs with Natural Gradient and Parameter Averaging.

Rescaled Asynchronous SGD: Optimal Distributed Optimization under Data and System Heterogeneity Parallel training of DNNs with Natural Gradient and Parameter Averaging

Reference 56

Resolution
verified exact
local_arxiv, observed 2026-05-14T19:32:50.869592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-14T19:31:12.149482Z digest=sha256:d6dfa4643ad3e9c8486ed3605fefe701ed095e2d08514abd8c0d5d3b8f261b30

Observation 9b99b894-b719-4603-aa25-345f42342cbd · outbound

This paper cites Practical Secure Aggregation for Federated Learning on User-Held Data.

Rescaled Asynchronous SGD: Optimal Distributed Optimization under Data and System Heterogeneity Practical Secure Aggregation for Federated Learning on User-Held Data

Reference 57

Resolution
metadata mismatch
local_arxiv, observed 2026-05-14T19:32:51.144897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-14T19:31:12.149482Z digest=sha256:aaa8af9bf2c1096dfdbed11171831a3094bd1209e26132993f61c9bed4e88e10

Observation 09ce80d8-de78-465a-8d33-4cecada13e3b · outbound

This paper cites Training Deep Learning Models with Norm-Constrained LMOs.

Rescaled Asynchronous SGD: Optimal Distributed Optimization under Data and System Heterogeneity Training Deep Learning Models with Norm-Constrained LMOs

Reference 58

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verified exact
arxiv_id, observed 2026-05-21T21:22:37.653978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-14T19:31:12.149482Z digest=sha256:c8b49efe93cddf47c1f8f5d81b0ccbf568c939afb62e1ae01b5ebfeecd339f63

Observation f9874835-7e65-4b90-ad62-dd2862a588f9 · outbound

This paper cites Gluon: Making Muon & Scion Great Again! (Bridging Theory and Practice of LMO-based Optimizers for LLMs).

Rescaled Asynchronous SGD: Optimal Distributed Optimization under Data and System Heterogeneity Gluon: Making Muon & Scion Great Again! (Bridging Theory and Practice of LMO-based Optimizers for LLMs)

Reference 59

Resolution
verified exact
arxiv_id, observed 2026-05-14T19:32:50.953656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-14T19:31:12.149482Z digest=sha256:20e3b5673334b4e9e4483de2e2b06517a83f66eeda248356a65d61f1cc407c8b

Observation 04ecf72a-d389-45a2-82db-d8559bb02907 · outbound

This paper cites The Ball-Proximal (="Broximal") Point Method: a New Algorithm, Convergence Theory, and Applications.

Rescaled Asynchronous SGD: Optimal Distributed Optimization under Data and System Heterogeneity The Ball-Proximal (="Broximal") Point Method: a New Algorithm, Convergence Theory, and Applications

Reference 60

Resolution
verified exact
arxiv_id, observed 2026-05-14T19:32:50.833454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-14T19:31:12.149482Z digest=sha256:af8278aa52f8574d978a9893a50298e05015b5b48c50ba70422e05081c22c859

Observation 9e2ad22c-ff57-4c86-9257-e997822e329f · outbound

This paper cites Simple Complexity Analysis of Simplified Direct Search.

Rescaled Asynchronous SGD: Optimal Distributed Optimization under Data and System Heterogeneity Simple Complexity Analysis of Simplified Direct Search

Reference 61

Resolution
verified exact
local_arxiv, observed 2026-05-14T19:32:51.023049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-14T19:31:12.149482Z digest=sha256:57eb8633efbb68e052589c8b7baf6e53c52b474ccf0f012f8fc1c71ab0381cdd

Observation 08e0a0cd-103b-493a-97c5-f1e219949d54 · outbound

This paper cites Introduction to.

Rescaled Asynchronous SGD: Optimal Distributed Optimization under Data and System Heterogeneity Introduction to

Reference 62

Resolution
verified exact
doi, observed 2026-05-14T19:32:51.150331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-14T19:31:12.149482Z digest=sha256:0c783b3dcd0193b2eef3277f806610f8568d350a716e841d5e83393a5c7ff63b

Observation 2930b741-1ba4-4034-92d1-06e947f25598 · outbound

This paper cites Optimal Distributed Online Prediction using Mini-Batches.

Rescaled Asynchronous SGD: Optimal Distributed Optimization under Data and System Heterogeneity Optimal Distributed Online Prediction using Mini-Batches

Reference 63

Resolution
verified exact
local_arxiv, observed 2026-05-14T19:32:51.029664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-14T19:31:12.149482Z digest=sha256:8ce0beb7353834bf2b15471e9f4f40aa48c395442111fda282896de91f82d1db

Observation 094b177b-fd35-40ea-81d4-ff9a8db0bbb0 · outbound

This paper cites IEEE Transactions on Computers , author =.

Rescaled Asynchronous SGD: Optimal Distributed Optimization under Data and System Heterogeneity IEEE Transactions on Computers , author =

Reference 64

Resolution
verified exact
arxiv_id, observed 2026-05-14T19:32:51.077106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-14T19:31:12.149482Z digest=sha256:3eb7b11043f8eaaecf0d9df7ed5de74aab347c6f942366276c3191fbbcd687c9

Observation 21eaeca0-74fd-4f54-8397-a04c5cec2c5e · outbound

This paper cites Balancing.

Rescaled Asynchronous SGD: Optimal Distributed Optimization under Data and System Heterogeneity Balancing

Reference 65

Resolution
metadata mismatch
arxiv_id, observed 2026-05-14T19:32:51.056815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-14T19:31:12.149482Z digest=sha256:2fb1abf25e124f5a38d874d9ba68e781f67f033121a3053fb2eb79af8fcc7960

Observation 7cf38e2c-8af4-48f6-8a6e-00e22ebe9035 · outbound

This paper cites month = dec, year =.

Rescaled Asynchronous SGD: Optimal Distributed Optimization under Data and System Heterogeneity month = dec, year =

Reference 66

Resolution
verified exact
doi, observed 2026-05-14T19:32:51.479537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-14T19:31:12.149482Z digest=sha256:2892fa9a1a8a2c70f564bd5f1fa98f8767c972498680cbe581dff6921853f5b6

Observation 39bbbd81-be8b-4896-b9ea-85c2b0ec6f8f · outbound

This paper cites Staleness-aware Async-SGD for Distributed Deep Learning.

Rescaled Asynchronous SGD: Optimal Distributed Optimization under Data and System Heterogeneity Staleness-aware Async-SGD for Distributed Deep Learning

Reference 67

Resolution
verified exact
local_arxiv, observed 2026-05-14T19:32:51.288103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-14T19:31:12.149482Z digest=sha256:88a8df5fa1cdcd8662813a74621b08a28cc6c13a100b208e02549e818a03bdf3

Observation d3091e72-7c3b-4dc6-87c6-f2deef1282ab · outbound

This paper cites Model Accuracy and Runtime Tradeoff in Distributed Deep Learning:A Systematic Study.

Rescaled Asynchronous SGD: Optimal Distributed Optimization under Data and System Heterogeneity Model Accuracy and Runtime Tradeoff in Distributed Deep Learning:A Systematic Study

Reference 68

Resolution
verified exact
local_arxiv, observed 2026-05-14T19:32:51.425736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-14T19:31:12.149482Z digest=sha256:45a77b4372af882e13bb11b889a5b83a04275fc91d67784ab62dcfebe1b46e36

Observation 63753fdc-0a20-4bc9-99e0-9edf4d7be1a0 · outbound

This paper cites Robust and Communication-Efficient Federated Learning from Non-IID Data.

Rescaled Asynchronous SGD: Optimal Distributed Optimization under Data and System Heterogeneity Robust and Communication-Efficient Federated Learning from Non-IID Data

Reference 69

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local_arxiv, observed 2026-05-14T19:32:51.388463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-14T19:31:12.149482Z digest=sha256:7e07a2b4c1fe04245d21f68751c9436c6a9b37da480982e5a59d8c70e67cd425

Observation 077f05e8-97b6-49d1-aa73-ec733978610c · outbound

This paper cites Federated Learning for Mobile Keyboard Prediction.

Rescaled Asynchronous SGD: Optimal Distributed Optimization under Data and System Heterogeneity Federated Learning for Mobile Keyboard Prediction

Reference 70

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local_arxiv, observed 2026-05-14T19:32:51.401942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-14T19:31:12.149482Z digest=sha256:e71db2bc67214c4cb443c6ce8ddda4cac4acae63239515ce9967ddbc2dd12710

Observation 058de978-4426-4ca7-8e14-0be3c977f8fe · outbound

This paper cites Asynchronous.

Rescaled Asynchronous SGD: Optimal Distributed Optimization under Data and System Heterogeneity Asynchronous

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T18:20:15.313511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-14T19:31:12.149482Z digest=sha256:c3caa30365ce738412f33055599b2eab59a637d51907beeff9684e04e5bdd784

Observation ba3417f3-f666-4b54-a235-9db10df7e988 · outbound

This paper cites Communication-Efficient Distributed Deep Learning: A Comprehensive Survey.

Rescaled Asynchronous SGD: Optimal Distributed Optimization under Data and System Heterogeneity Communication-Efficient Distributed Deep Learning: A Comprehensive Survey

Reference 72

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arxiv_id, observed 2026-05-14T19:32:51.347410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-14T19:31:12.149482Z digest=sha256:85789cc25fe69d3d88ad6424a5199030d12a12dfae01a18d7f906298bcb126d1

Observation 658633d2-acbf-42eb-8636-ae0e91f6002f · outbound

This paper cites Communication-Efficient Large-Scale Distributed Deep Learning: A Comprehensive Survey.

Rescaled Asynchronous SGD: Optimal Distributed Optimization under Data and System Heterogeneity Communication-Efficient Large-Scale Distributed Deep Learning: A Comprehensive Survey

Reference 73

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arxiv_id, observed 2026-05-14T19:32:51.306739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-14T19:31:12.149482Z digest=sha256:ad157dbd86a3b81b34503b8ba7229e54239c9d700dfaec1442160ba8da2d06ad

Observation 8e85bc8c-5135-4c24-8b3e-f5712eb681bb · outbound

This paper cites Mapreduce: Simplified data processing on large clusters.

Rescaled Asynchronous SGD: Optimal Distributed Optimization under Data and System Heterogeneity Mapreduce: Simplified data processing on large clusters

Reference 74

Resolution
metadata mismatch
arxiv_id, observed 2026-05-14T19:32:51.505262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-14T19:31:12.149482Z digest=sha256:27b916671340bfd3aa5ca8cae79d2d85ab05fbaa7e635e3d211ff4f86e1a9953

Observation 21c50149-fbf5-4610-bdd5-b3232cc0bd31 · outbound

This paper cites an unresolved cited work.

Rescaled Asynchronous SGD: Optimal Distributed Optimization under Data and System Heterogeneity Unresolved cited work

Reference 75

Resolution
unresolved
raw_fallback, observed 2026-05-15T18:20:15.231653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-14T19:31:12.149482Z digest=sha256:88f2a309cf21e7661bbb6084a8aaf57ca756743a358a752529a781622e16bef1

Observation 100e06d0-fd9a-4dd7-b6c2-87d2318ee320 · outbound

This paper cites Communication-Efficient Federated Learning With Data and Client Heterogeneity.

Rescaled Asynchronous SGD: Optimal Distributed Optimization under Data and System Heterogeneity Communication-Efficient Federated Learning With Data and Client Heterogeneity

Reference 76

Resolution
verified exact
arxiv_id, observed 2026-05-14T19:32:51.450502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-14T19:31:12.149482Z digest=sha256:57b1e3619b474cb7ef3835f40c3bd758ce4ca5e4a22fac8640171947681b857f

Observation 5f5d116a-d75f-4740-b03f-8dd84fec000f · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , author =.

Rescaled Asynchronous SGD: Optimal Distributed Optimization under Data and System Heterogeneity Proceedings of the AAAI Conference on Artificial Intelligence , author =

Reference 77

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doi, observed 2026-05-14T19:32:51.412737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-14T19:31:12.149482Z digest=sha256:d3d69685dcd464dfdd6f7d41ac0b703a160a60fd8963d8686922be46a18019e1

Observation 1d678723-3a32-4b85-9798-dbb37f453a7f · outbound

This paper cites month = oct, year =.

Rescaled Asynchronous SGD: Optimal Distributed Optimization under Data and System Heterogeneity month = oct, year =

Reference 78

Resolution
verified exact
arxiv_id, observed 2026-05-14T19:32:51.394632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-14T19:31:12.149482Z digest=sha256:43e18ce3279e95a4e456968fb17c09dea5d52ac9026b0f8737c03b2c8e18699c

Observation 5e921fdd-fd6d-4800-b0fb-aedc5cdb099f · outbound

This paper cites Hogwild!.

Rescaled Asynchronous SGD: Optimal Distributed Optimization under Data and System Heterogeneity Hogwild!

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T18:20:15.321597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-14T19:31:12.149482Z digest=sha256:600cb96fd583f2b94438c66c2dd5e3c29be16712cb7cfefa7c712fa84708d2a8

Observation 09011912-878f-4cc3-a58a-6762bad9d94b · outbound

This paper cites Error feedback for muon and friends.

Rescaled Asynchronous SGD: Optimal Distributed Optimization under Data and System Heterogeneity Error feedback for muon and friends

Reference 80

Resolution
verified exact
arxiv_id, observed 2026-05-14T19:32:51.444938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-14T19:31:12.149482Z digest=sha256:33a8e87dcd315907e6641c150c1034f852c30ee6240c1a18cfb1725336b3df38

Observation 5af955b5-bed2-43f3-99a2-358bba98de04 · outbound

This paper cites IEEE Transactions on Pattern Analysis and Machine Intelligence , author =.

Rescaled Asynchronous SGD: Optimal Distributed Optimization under Data and System Heterogeneity IEEE Transactions on Pattern Analysis and Machine Intelligence , author =

Reference 81

Resolution
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arxiv_id, observed 2026-05-14T19:32:51.258616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-14T19:31:12.149482Z digest=sha256:2dfa42b01ee39d8d720f3ac02f1f500421b3106cc4a33945b87e6290adbde1a7

Observation 80f2a7c3-147e-4ecb-b9d4-5bdc3dd785ae · outbound

This paper cites IEEE Transactions on Automatic Control , author =.

Rescaled Asynchronous SGD: Optimal Distributed Optimization under Data and System Heterogeneity IEEE Transactions on Automatic Control , author =

Reference 82

Resolution
verified exact
arxiv_id, observed 2026-05-14T19:32:51.276169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-14T19:31:12.149482Z digest=sha256:2cfc4a11ee62005d382150cc80517ad5276cb20500d1322a03d761eb77d2e72b

Observation 5d8d62ab-0e0d-497f-9dc5-12d9a637a9a5 · outbound

This paper cites Optimization.

Rescaled Asynchronous SGD: Optimal Distributed Optimization under Data and System Heterogeneity Optimization

Reference 83

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T18:20:15.376028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-14T19:31:12.149482Z digest=sha256:608a8b5c11b5f3f943fe0e1b6f48ec01b398c207613a6a50e84c0c83390373c0

Observation 92d1d05d-1320-43d8-9b4f-10029e1fa840 · outbound

This paper cites an unresolved cited work.

Rescaled Asynchronous SGD: Optimal Distributed Optimization under Data and System Heterogeneity Unresolved cited work

Reference 84

Resolution
verified exact
arxiv_id, observed 2026-05-14T19:32:51.137578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-14T19:31:12.149482Z digest=sha256:405c5ee9b72ff956a47555600f412e310dc902b77ec00103216d39b1bad3ee10

Observation aa638e4e-a4f2-4f2b-948c-8d220ef95f2b · outbound

This paper cites A Unified Theory of Decentralized SGD with Changing Topology and Local Updates.

Rescaled Asynchronous SGD: Optimal Distributed Optimization under Data and System Heterogeneity A Unified Theory of Decentralized SGD with Changing Topology and Local Updates

Reference 85

Resolution
metadata mismatch
arxiv_id, observed 2026-05-14T19:32:51.251821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-14T19:31:12.149482Z digest=sha256:824bd31b5e85a620b6da51626b07ba8143b7ed4cb598bfb0c7797f472afa6add

Observation e0296bdc-75aa-4b5b-8ab6-f8b76338d85a · outbound

This paper cites Cooperative SGD: A unified Framework for the Design and Analysis of Communication-Efficient SGD Algorithms.

Rescaled Asynchronous SGD: Optimal Distributed Optimization under Data and System Heterogeneity Cooperative SGD: A unified Framework for the Design and Analysis of Communication-Efficient SGD Algorithms

Reference 86

Resolution
verified exact
local_arxiv, observed 2026-05-14T19:32:51.282390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-14T19:31:12.149482Z digest=sha256:da40a082566fbe939d919e75167e5c8369a55547a578b1997242b03b1e77876f

Observation 69d9d814-c6d5-43e2-aaf8-1ce11ae645cd · outbound

This paper cites Bayesian.

Rescaled Asynchronous SGD: Optimal Distributed Optimization under Data and System Heterogeneity Bayesian

Reference 87

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T18:20:15.394919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-14T19:31:12.149482Z digest=sha256:39d91a92028c84313d73b8198e7c8f2669dac8e3900415714d186fa35f5bb526

Observation a5bf1491-17b2-432d-a428-e5f37d1b7a1f · outbound

This paper cites Local SGD Converges Fast and Communicates Little.

Rescaled Asynchronous SGD: Optimal Distributed Optimization under Data and System Heterogeneity Local SGD Converges Fast and Communicates Little

Reference 88

Resolution
metadata mismatch
local_arxiv, observed 2026-05-14T19:32:51.265405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-14T19:31:12.149482Z digest=sha256:41a455374798aca452f223b65dbdd30ffbc43278f7ffc7c6ba58a391fffc9021

Observation 9802e925-482c-4a97-a0e3-d1991be73135 · outbound

This paper cites and Radovič, Boris and Canini, Marco and Pejović, Veljko , month = dec, year =.

Rescaled Asynchronous SGD: Optimal Distributed Optimization under Data and System Heterogeneity and Radovič, Boris and Canini, Marco and Pejović, Veljko , month = dec, year =

Reference 89

Resolution
verified exact
arxiv_id, observed 2026-05-14T19:32:51.456289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-14T19:31:12.149482Z digest=sha256:f1a138e2130bdbc746bc0b3967ba4b19528f4009ab9ef8095e1b340860c1fefe

Observation ffc26f7d-a6f4-4ac0-9f60-21f32bab6125 · outbound

This paper cites System Design , author =.

Rescaled Asynchronous SGD: Optimal Distributed Optimization under Data and System Heterogeneity System Design , author =

Reference 90

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T18:20:15.399459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-14T19:31:12.149482Z digest=sha256:0ad5363d9fba01badecfbc8528192c16cacaf7344f861b4420dd67e6903afcec

Observation 88d1b5ca-064b-44c9-b259-62a90c98e75c · outbound

This paper cites Papaya: Practical, Private, and Scalable Federated Learning.

Rescaled Asynchronous SGD: Optimal Distributed Optimization under Data and System Heterogeneity Papaya: Practical, Private, and Scalable Federated Learning

Reference 91

Resolution
verified exact
arxiv_id, observed 2026-05-14T19:32:51.438183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-14T19:31:12.149482Z digest=sha256:03bde7ce2f5f9ba68a54f115c6235be91563a6884458f07d53ad671174fada4d

Observation 01cd1991-5124-41e2-89ce-f0eb969da850 · outbound

This paper cites Emogen: Emotional image content generation with text-to-image diffusion models.

Rescaled Asynchronous SGD: Optimal Distributed Optimization under Data and System Heterogeneity Emogen: Emotional image content generation with text-to-image diffusion models

Reference 92

Resolution
metadata mismatch
arxiv_id, observed 2026-05-14T19:32:51.518130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-14T19:31:12.149482Z digest=sha256:2c627b3c338c4f3382d630d3c20a172ca566dc1045c38a3abc087260927b65b0

Observation df9d723a-2484-4f05-8b00-decc6d0512f7 · outbound

This paper cites Client Selection in Federated Learning with Data Heterogeneity and Network Latencies.

Rescaled Asynchronous SGD: Optimal Distributed Optimization under Data and System Heterogeneity Client Selection in Federated Learning with Data Heterogeneity and Network Latencies

Reference 93

Resolution
verified exact
arxiv_id, observed 2026-05-14T19:32:51.431830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-14T19:31:12.149482Z digest=sha256:54ee8ab8b2ff3bc3cd6cfe282a99f61e8ef7d5a0eee83fd5e11dcec23cb5f5cc

Observation 76e9945d-260f-4f07-9e25-f851b4be7d50 · outbound

This paper cites IEEE Internet of Things Journal , author =.

Rescaled Asynchronous SGD: Optimal Distributed Optimization under Data and System Heterogeneity IEEE Internet of Things Journal , author =

Reference 94

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verified exact
arxiv_id, observed 2026-05-14T19:32:51.475241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-14T19:31:12.149482Z digest=sha256:0437734b13eef18f5e426040c17072e6794ac4250e0a1616e12100654413937c

Observation 0b582584-864c-4691-aba6-422170a8f01e · outbound

This paper cites FedScale: Benchmarking Model and System Performance of Federated Learning at Scale.

Rescaled Asynchronous SGD: Optimal Distributed Optimization under Data and System Heterogeneity FedScale: Benchmarking Model and System Performance of Federated Learning at Scale

Reference 95

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verified exact
arxiv_id, observed 2026-05-14T19:32:51.485903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-14T19:31:12.149482Z digest=sha256:f221b7b49e8c9be3a3d5655b7fd9f6a8720a8c4308c8a930ff49fbd58e4289e6

Observation 82cd6c79-1392-4c97-8a55-bdc24cb131d0 · outbound

This paper cites FLINT: A Platform for Federated Learning Integration.

Rescaled Asynchronous SGD: Optimal Distributed Optimization under Data and System Heterogeneity FLINT: A Platform for Federated Learning Integration

Reference 96

Resolution
verified exact
arxiv_id, observed 2026-05-14T19:32:51.511222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-14T19:31:12.149482Z digest=sha256:292a0c0ecb9c1bc991e74b469e20b4ad58482ad2fe8c8906d6e4cc18c78ae2b6

Observation fce4034e-d058-4160-a419-fc7d385e9c60 · outbound

This paper cites pFL-Bench: A Comprehensive Benchmark for Personalized Federated Learning.

Rescaled Asynchronous SGD: Optimal Distributed Optimization under Data and System Heterogeneity pFL-Bench: A Comprehensive Benchmark for Personalized Federated Learning

Reference 97

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verified exact
arxiv_id, observed 2026-05-14T19:32:51.419038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-14T19:31:12.149482Z digest=sha256:0f22888ac2bf39c1c6c967fe26b2f61998d838454f3afd2174bccc7993dc2233

Observation f4a96d05-4189-4f49-8135-36c804410875 · outbound

This paper cites AI Benchmark: Running Deep Neural Networks on Android Smartphones.

Rescaled Asynchronous SGD: Optimal Distributed Optimization under Data and System Heterogeneity AI Benchmark: Running Deep Neural Networks on Android Smartphones

Reference 98

Resolution
metadata mismatch
local_arxiv, observed 2026-05-14T19:32:51.468428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-14T19:31:12.149482Z digest=sha256:f94853322004301082ca6468ac6554b859d45a6a14bf4cc857dace04cf61f4b4

Observation 61ce25bc-3b31-46b0-8b42-d00e3715d8cd · outbound

This paper cites Characterizing Impacts of Heterogeneity in Federated Learning upon Large-Scale Smartphone Data.

Rescaled Asynchronous SGD: Optimal Distributed Optimization under Data and System Heterogeneity Characterizing Impacts of Heterogeneity in Federated Learning upon Large-Scale Smartphone Data

Reference 99

Resolution
verified exact
arxiv_id, observed 2026-05-14T19:32:51.360822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-14T19:31:12.149482Z digest=sha256:6959f38105527904395b6e4d3ca1068ffe815e76b5f272b6a79212f1b9688673

Observation f796bdd7-bf75-4734-b91d-aba418262cf2 · outbound

This paper cites arXiv.org , author =.

Rescaled Asynchronous SGD: Optimal Distributed Optimization under Data and System Heterogeneity arXiv.org , author =

Reference 100

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T18:20:15.356800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-14T19:31:12.149482Z digest=sha256:74d603d0fb952410c61a64e0beb1155a37f33e1b590b668aaefeaa90dad0595b

Pith citing papers

Observation 15df9caa-46f4-45d9-ad94-c047143eae75 · inbound

Ringmaster LMO: Asynchronous Linear Minimization Oracle Momentum Method cites this paper.

Ringmaster LMO: Asynchronous Linear Minimization Oracle Momentum Method Rescaled Asynchronous SGD: Optimal Distributed Optimization under Data and System Heterogeneity

Reference 2

Resolution
verified exact
local_arxiv, observed 2026-05-20T13:13:18.653291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-20T13:08:52.912250Z digest=sha256:e17e373748f96d99822bd85c7a6d16cd0772d6550530f2ac25977f20fb8ded80

Observation 9440aa27-457e-44a0-a063-31320794c3c6 · inbound

LOSCAR-SGD: Local SGD with Communication-Computation Overlap and Delay-Corrected Sparse Model Averaging cites this paper.

LOSCAR-SGD: Local SGD with Communication-Computation Overlap and Delay-Corrected Sparse Model Averaging Rescaled Asynchronous SGD: Optimal Distributed Optimization under Data and System Heterogeneity

Reference 2

Resolution
verified exact
local_arxiv, observed 2026-05-21T05:49:40.681804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-21T05:49:28.713982Z digest=sha256:602273bc5e0ed2c4be0e9be188264f5e764723a960bd4f759a2ce98a24ec78c3