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Paper Citation Record · LEDGER

Delayed Momentum Aggregation: Communication-efficient Byzantine-robust Federated Learning with Partial Participation

As of 22 August 2026, this Paper Citation Record lists 83 of 83 outbound references and 0 inbound Pith citation observations for arXiv:2509.02970.

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

pith.paper-citation-record.v1
2509.02970 v3

Coverage vector

measured 83 of 83 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T11:23:55.713858Z

measured 83 of 83 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

83 of 83 outbound references displayed

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  • verified fuzzy64
  • unresolved18
  • parse uncertain0
  • malformed identifier1
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External citation measurements

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Outbound references

Observation b1370a61-a29d-46d0-982a-7811f0c0add4 · outbound

This paper cites Dhillon, and Ufuk Topcu.

Delayed Momentum Aggregation: Communication-efficient Byzantine-robust Federated Learning with Partial Participation Dhillon, and Ufuk Topcu

Reference 1

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Observation 485715b7-4778-4fe2-87bb-c0a67acf76ca · outbound

This paper cites Optimal Gradient Compression for Distributed and Federated Learning.

Delayed Momentum Aggregation: Communication-efficient Byzantine-robust Federated Learning with Partial Participation Optimal Gradient Compression for Distributed and Federated Learning

Reference 2

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Observation 0ef25e8a-1175-418d-9571-e87d1678b32f · outbound

This paper cites Alghunaim.

Delayed Momentum Aggregation: Communication-efficient Byzantine-robust Federated Learning with Partial Participation Alghunaim

Reference 3

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source=pdf_text observed=2026-08-05T11:23:42.003701Z digest=sha256:d6d745a287d54629546f472943be1aedb6b01931d988818dd5e754db2cec7fc6

Observation e3f345e1-d66c-4327-b5b8-e16dddb8c8c3 · outbound

This paper cites QSGD: communication-efficient SGD via gradient quantization and encoding.

Delayed Momentum Aggregation: Communication-efficient Byzantine-robust Federated Learning with Partial Participation QSGD: communication-efficient SGD via gradient quantization and encoding

Reference 4

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source=pdf_text observed=2026-08-05T11:23:42.103610Z digest=sha256:d19d8207da53fa9c7af824f138e1e407f2e9482ac4fc5240dcf1fde1fbf057a3

Observation a102c3cf-c1f6-423a-a0e7-d7df672ab9fb · outbound

This paper cites Byzantine stochastic gradient descent.

Delayed Momentum Aggregation: Communication-efficient Byzantine-robust Federated Learning with Partial Participation Byzantine stochastic gradient descent

Reference 5

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Observation dc592d0f-b81a-4c98-b9f5-e02e210b07b5 · outbound

This paper cites Byzantine-resilient non-convex stochastic gradient descent.

Delayed Momentum Aggregation: Communication-efficient Byzantine-robust Federated Learning with Partial Participation Byzantine-resilient non-convex stochastic gradient descent

Reference 6

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Observation 577cf430-5e55-40d9-852c-01717d02c355 · outbound

This paper cites Fixing by mixing: A recipe for optimal byzantine ML under heterogeneity.

Delayed Momentum Aggregation: Communication-efficient Byzantine-robust Federated Learning with Partial Participation Fixing by mixing: A recipe for optimal byzantine ML under heterogeneity

Reference 7

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source=pdf_text observed=2026-08-05T11:23:42.631526Z digest=sha256:7b08a25ca63662717bacef476a8fa014761ded77028abfdfdef9ce06e76da8bc

Observation 0a26988a-48d4-4569-a0d5-8ffcffeecb97 · outbound

This paper cites Byzantine-robust federated learning: Impact of client sub- sampling and local updates.

Delayed Momentum Aggregation: Communication-efficient Byzantine-robust Federated Learning with Partial Participation Byzantine-robust federated learning: Impact of client sub- sampling and local updates

Reference 8

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Observation 8cb45e5a-3e9f-41b9-8c5e-d557ed8d9a14 · outbound

This paper cites A little is enough: Circumventing defenses for distributed learning.

Delayed Momentum Aggregation: Communication-efficient Byzantine-robust Federated Learning with Partial Participation A little is enough: Circumventing defenses for distributed learning

Reference 9

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source=pdf_text observed=2026-08-05T11:23:43.053023Z digest=sha256:07b7e297524a6011b7a3be3096c9255b5f406d908df407829df931ad8f1e50ed

Observation 81fe7fd3-a964-48e0-b8a9-bbcdfcdcb38e · outbound

This paper cites signsgd with majority vote is communication efficient and fault tolerant.

Delayed Momentum Aggregation: Communication-efficient Byzantine-robust Federated Learning with Partial Participation signsgd with majority vote is communication efficient and fault tolerant

Reference 10

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source=pdf_text observed=2026-08-05T11:23:43.213035Z digest=sha256:ae0d5ca85d88641308b35063d670fa6a3476d2107a999534d2024e04997b79c5

Observation f28dd4be-cc77-4e79-b4e8-160b875710f0 · outbound

This paper cites Machine learning with adversaries: Byzantine tolerant gradient descent.

Delayed Momentum Aggregation: Communication-efficient Byzantine-robust Federated Learning with Partial Participation Machine learning with adversaries: Byzantine tolerant gradient descent

Reference 12

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Observation 96ced9cb-825e-405f-a740-9427090f734d · outbound

This paper cites Bonawitz, Vladimir Ivanov, Ben Kreuter, Antonio Marcedone, H.

Delayed Momentum Aggregation: Communication-efficient Byzantine-robust Federated Learning with Partial Participation Bonawitz, Vladimir Ivanov, Ben Kreuter, Antonio Marcedone, H

Reference 13

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Observation 1327acbf-9020-44a7-97c0-b6a925e9cd1a · outbound

This paper cites Curtis, and Jorge Nocedal.

Delayed Momentum Aggregation: Communication-efficient Byzantine-robust Federated Learning with Partial Participation Curtis, and Jorge Nocedal

Reference 14

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Observation 68d3d23b-1573-4ed6-b3ae-af8497a5a442 · outbound

This paper cites Charles, and Dimitris S.

Delayed Momentum Aggregation: Communication-efficient Byzantine-robust Federated Learning with Partial Participation Charles, and Dimitris S

Reference 15

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Observation d68bc301-7db6-434f-8399-ef0077c6c57c · outbound

This paper cites Optimal client sampling for federated learning.

Delayed Momentum Aggregation: Communication-efficient Byzantine-robust Federated Learning with Partial Participation Optimal client sampling for federated learning

Reference 16

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Observation 07a2b45d-7ee9-48a6-9a0b-8a5f6f6e42fe · outbound

This paper cites Momentum benefits non-iid federated learning simply and provably.

Delayed Momentum Aggregation: Communication-efficient Byzantine-robust Federated Learning with Partial Participation Momentum benefits non-iid federated learning simply and provably

Reference 17

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Observation f49d9020-f650-4893-a74c-8e7e947e773c · outbound

This paper cites Client Selection in Federated Learning: Convergence Analysis and Power-of-Choice Selection Strategies.

Delayed Momentum Aggregation: Communication-efficient Byzantine-robust Federated Learning with Partial Participation Client Selection in Federated Learning: Convergence Analysis and Power-of-Choice Selection Strategies

Reference 18

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Observation f159b582-6125-44c5-ae29-a2416feefd46 · outbound

This paper cites an unresolved cited work.

Delayed Momentum Aggregation: Communication-efficient Byzantine-robust Federated Learning with Partial Participation Unresolved cited work

Reference 19

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Observation 4b5e03f7-d3f8-4524-8bf0-bbae541cae2d · outbound

This paper cites Fault tolerant ML: efficient meta-aggregation and syn- chronous training.

Delayed Momentum Aggregation: Communication-efficient Byzantine-robust Federated Learning with Partial Participation Fault tolerant ML: efficient meta-aggregation and syn- chronous training

Reference 20

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Observation 2c1d23d9-f6fd-4a94-a6ec-9394289f2514 · outbound

This paper cites AGGREGATHOR: byzantine machine learning via robust gradient ag- gregation.

Delayed Momentum Aggregation: Communication-efficient Byzantine-robust Federated Learning with Partial Participation AGGREGATHOR: byzantine machine learning via robust gradient ag- gregation

Reference 21

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Observation ea11b799-8482-4fe7-a0bb-3ab2464b21d6 · outbound

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Delayed Momentum Aggregation: Communication-efficient Byzantine-robust Federated Learning with Partial Participation Unresolved cited work

Reference 22

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Observation 18021cd3-c0d5-4f51-a48d-04e145103ceb · outbound

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Delayed Momentum Aggregation: Communication-efficient Byzantine-robust Federated Learning with Partial Participation Unresolved cited work

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Observation 0d066537-10c0-487e-81af-a81321161930 · outbound

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Delayed Momentum Aggregation: Communication-efficient Byzantine-robust Federated Learning with Partial Participation Unresolved cited work

Reference 24

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Observation 08dec243-6414-4c5d-b073-172a61de58a5 · outbound

This paper cites On the ineffectiveness of variance reduced optimization for deep learning.

Delayed Momentum Aggregation: Communication-efficient Byzantine-robust Federated Learning with Partial Participation On the ineffectiveness of variance reduced optimization for deep learning

Reference 25

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Observation 0ace34bf-0632-4186-a15f-0873e99207bd · outbound

This paper cites Collaborative learning in the jungle (decentralized, byzantine, heterogeneous, asynchronous and nonconvex learning).

Delayed Momentum Aggregation: Communication-efficient Byzantine-robust Federated Learning with Partial Participation Collaborative learning in the jungle (decentralized, byzantine, heterogeneous, asynchronous and nonconvex learning)

Reference 26

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source=pdf_text observed=2026-08-05T11:23:46.117307Z digest=sha256:8a7d0bceabae136f1ae776f35a2fba72d367724863bc570e16ca73e92b3046d6

Observation 2158c081-d56b-4311-83e3-15452261901d · outbound

This paper cites Byzantine machine learning made easy by resilient averaging of momentums.

Delayed Momentum Aggregation: Communication-efficient Byzantine-robust Federated Learning with Partial Participation Byzantine machine learning made easy by resilient averaging of momentums

Reference 27

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source=pdf_text observed=2026-08-05T11:23:46.277264Z digest=sha256:01db0c2ab966887421ecf5bd365a71fcd38d9a4fed554b5289002bdc450536d3

Observation 1f10bda6-94fa-431e-beaa-74c3b0e80a45 · outbound

This paper cites Momentum provably improves error feedback! In Advances in Neural Information Processing Systems, 2023.

Delayed Momentum Aggregation: Communication-efficient Byzantine-robust Federated Learning with Partial Participation Momentum provably improves error feedback! In Advances in Neural Information Processing Systems, 2023

Reference 28

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Observation 7a8a3261-8b5a-41c0-9bf1-76ad135bba83 · outbound

This paper cites Clustered sampling: Low- variance and improved representativity for clients selection in federated learning.

Delayed Momentum Aggregation: Communication-efficient Byzantine-robust Federated Learning with Partial Participation Clustered sampling: Low- variance and improved representativity for clients selection in federated learning

Reference 29

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source=pdf_text observed=2026-08-05T11:23:46.662340Z digest=sha256:57ba12c54c98d8acd272dd93fd706933eb65b57e55204ad032da01b84649436f

Observation 25395992-b295-4b02-8ed0-f0356daf0543 · outbound

This paper cites A general theory for client sampling in federated learning.

Delayed Momentum Aggregation: Communication-efficient Byzantine-robust Federated Learning with Partial Participation A general theory for client sampling in federated learning

Reference 30

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source=pdf_text observed=2026-08-05T11:23:46.875338Z digest=sha256:916cb078d388b5c7655bce2eb81fbc68d90a67a90cc0fe933ba5c057296829a2

Observation ec767131-6bda-4a23-a6bb-eae9d86ff5bf · outbound

This paper cites Handbook of Convergence Theorems for (Stochastic) Gradient Methods.

Delayed Momentum Aggregation: Communication-efficient Byzantine-robust Federated Learning with Partial Participation Handbook of Convergence Theorems for (Stochastic) Gradient Methods

Reference 31

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source=pdf_text observed=2026-08-05T11:23:47.017667Z digest=sha256:f8d9edcabbb1d6cd89dbe81d33f9d172c2c8523db6b6dca66dfdd582c22c919f

Observation 475b0cf8-3893-4501-ad2b-146b0fbc16ca · outbound

This paper cites Stochastic first- and zeroth-order methods for nonconvex stochastic programming.

Delayed Momentum Aggregation: Communication-efficient Byzantine-robust Federated Learning with Partial Participation Stochastic first- and zeroth-order methods for nonconvex stochastic programming

Reference 32

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source=pdf_text observed=2026-08-05T11:23:47.143735Z digest=sha256:0c0abad3ded8e645a2b11724673c0de9cc286a9725655f39e051250ff0e66038

Observation 9ec2be07-1d1f-4b5f-91f8-b99493d917da · outbound

This paper cites Byzfl: Research framework for robust federated learning, 2025.

Delayed Momentum Aggregation: Communication-efficient Byzantine-robust Federated Learning with Partial Participation Byzfl: Research framework for robust federated learning, 2025

Reference 33

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source=pdf_text observed=2026-08-05T11:23:47.359626Z digest=sha256:e218605d2ae3acf76fa69ca9296dfa2f6a92fd7205a90585ac4a8421647f3cb4

Observation 810e1df8-6570-4000-bbd5-316c6d9ae907 · outbound

This paper cites Variance reduction is an antidote to byzantines: Better rates, weaker assumptions and communication compression as a cherry on the top.

Delayed Momentum Aggregation: Communication-efficient Byzantine-robust Federated Learning with Partial Participation Variance reduction is an antidote to byzantines: Better rates, weaker assumptions and communication compression as a cherry on the top

Reference 34

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source=pdf_text observed=2026-08-05T11:23:47.504253Z digest=sha256:b9578b26dd8829f385495a9e92ab245e3d386d943b5e7606fb1ede5fda732fea

Observation 777f1750-62f4-4d5b-a7c2-d9e8416dd1d3 · outbound

This paper cites Fast federated learning in the presence of arbitrary device unavailability.

Delayed Momentum Aggregation: Communication-efficient Byzantine-robust Federated Learning with Partial Participation Fast federated learning in the presence of arbitrary device unavailability

Reference 35

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T11:23:47.661317Z digest=sha256:5308c4e38677bfe66bc66b7482ea2cfb9fd019b9831942be5d175c0152c288c6

Observation 05466b24-1507-4e9c-9673-ceddda1910e8 · outbound

This paper cites New proximal point algorithms for convex minimization.SIAM J.

Delayed Momentum Aggregation: Communication-efficient Byzantine-robust Federated Learning with Partial Participation New proximal point algorithms for convex minimization.SIAM J

Reference 36

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T11:23:47.752946Z digest=sha256:c2222eb4a50b2f60212ac22a95eff03727ec555a9e3bca3681193ec9ba4928e5

Observation 0c2ea599-3048-4ef1-bc13-ec5c35c42c3c · outbound

This paper cites Federated learning with compression: Unified analysis and sharp guarantees.

Delayed Momentum Aggregation: Communication-efficient Byzantine-robust Federated Learning with Partial Participation Federated learning with compression: Unified analysis and sharp guarantees

Reference 37

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verified fuzzy
raw_fallback, observed 2026-08-05T11:24:08.574232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T11:23:47.913868Z digest=sha256:b9b7994a64c541c34f83a83f9606a6929adc36d9ee3cfee60ee1fc3e7d2b4d72

Observation 327f5350-a7b0-4d6d-8155-a930c272742a · outbound

This paper cites Byzantine-Robust Decentralized Learning via ClippedGossip.

Delayed Momentum Aggregation: Communication-efficient Byzantine-robust Federated Learning with Partial Participation Byzantine-Robust Decentralized Learning via ClippedGossip

Reference 38

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unresolved
no resolver link, observed 2026-08-05T11:23:48.108536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:23:48.108536Z digest=sha256:6dc6d89704b5045964a2eff2f835dcd8f28a238634219a88a8ca007097f66828

Observation 1ba70bfc-5b93-440f-999b-10c0fd9ea66b · outbound

This paper cites an unresolved cited work.

Delayed Momentum Aggregation: Communication-efficient Byzantine-robust Federated Learning with Partial Participation Unresolved cited work

Reference 39

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unresolved
raw_fallback, observed 2026-08-05T11:24:08.210716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T11:23:48.267528Z digest=sha256:35c8d13375b438eb4d5117d0accb3944584842f3829b88e0c8f8b23f1b0d152e

Observation b5cef083-6b4f-48ab-9621-b059958a67d7 · outbound

This paper cites an unresolved cited work.

Delayed Momentum Aggregation: Communication-efficient Byzantine-robust Federated Learning with Partial Participation Unresolved cited work

Reference 40

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raw_fallback, observed 2026-08-05T11:24:07.640464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T11:23:48.411261Z digest=sha256:561702efb0589e52e37dcd9657b0886eb78258fefa558443c244d93bcd2228e2

Observation 0c46f1d7-f930-485a-8eec-dfdb2d9af3b6 · outbound

This paper cites Brendan McMahan, Brendan Avent, Aur ´elien Bellet, Mehdi Bennis, Ar- jun Nitin Bhagoji, Kallista A.

Delayed Momentum Aggregation: Communication-efficient Byzantine-robust Federated Learning with Partial Participation Brendan McMahan, Brendan Avent, Aur ´elien Bellet, Mehdi Bennis, Ar- jun Nitin Bhagoji, Kallista A

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:24:07.372934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T11:23:48.563625Z digest=sha256:f3628da0385a8ba380841069af7edc8e6c321a537cbb9d9f1d0ed5211c1a5a81

Observation 35b018fc-3de1-4c02-9112-5fa910202634 · outbound

This paper cites Mime: Mimicking Centralized Stochastic Algorithms in Federated Learning.

Delayed Momentum Aggregation: Communication-efficient Byzantine-robust Federated Learning with Partial Participation Mime: Mimicking Centralized Stochastic Algorithms in Federated Learning

Reference 42

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unresolved
no resolver link, observed 2026-08-05T11:23:48.769342Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:23:48.769342Z digest=sha256:143e86eaccabbcb359c0d9e10f536596f43f429043dd4c05a78c6f39856655a0

Observation 40b858b9-5dc8-445d-b7e3-7364d2235071 · outbound

This paper cites Reddi, Sebastian U.

Delayed Momentum Aggregation: Communication-efficient Byzantine-robust Federated Learning with Partial Participation Reddi, Sebastian U

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:24:07.192502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T11:23:48.919867Z digest=sha256:11db5563945d3ac1b749216ea0664127ff5d781cec3fd3e416b4cdf6c499a3ef

Observation 83ebbadd-9f91-46f0-865c-9a7e3edd6472 · outbound

This paper cites Learning from history for byzantine robust optimization.

Delayed Momentum Aggregation: Communication-efficient Byzantine-robust Federated Learning with Partial Participation Learning from history for byzantine robust optimization

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:24:06.954523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T11:23:49.037344Z digest=sha256:1495e6d3a426bd419ee0ee0111cceae5a8ecaf2c6d59d9b015cf1f26840122ca

Observation 221e4cbe-80ce-42b0-9618-86868a03be8f · outbound

This paper cites Byzantine-robust learning on hetero- geneous datasets via bucketing.

Delayed Momentum Aggregation: Communication-efficient Byzantine-robust Federated Learning with Partial Participation Byzantine-robust learning on hetero- geneous datasets via bucketing

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:24:06.720338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T11:23:49.193303Z digest=sha256:acdba552eb3c27b9b6a600a6aaa2ae7014b7fab3eaec133e92f27dba1eaa0206

Observation 243eac7d-0bad-4998-8947-9f6a2b8c8e19 · outbound

This paper cites Distributed learning with compressed gradients.

Delayed Momentum Aggregation: Communication-efficient Byzantine-robust Federated Learning with Partial Participation Distributed learning with compressed gradients

Reference 46

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unresolved
no resolver link, observed 2026-08-05T11:23:49.357820Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:23:49.357820Z digest=sha256:8c065aeec74ed054e9e48c1be5359bd8fdb49d6a0c9855062da52bf89f5dc770

Observation f90e9e2c-1c03-414f-9278-314710c45286 · outbound

This paper cites an unresolved cited work.

Delayed Momentum Aggregation: Communication-efficient Byzantine-robust Federated Learning with Partial Participation Unresolved cited work

Reference 47

Resolution
unresolved
raw_fallback, observed 2026-08-05T11:24:06.552341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T11:23:49.537763Z digest=sha256:e0e0e4498fee345465a0b134785068ed5e7a195448e68e7137884d20d9316220

Observation e8d40eca-82e0-4b0f-b88b-928e4d6ff6cd · outbound

This paper cites Stich, and Martin Jaggi.

Delayed Momentum Aggregation: Communication-efficient Byzantine-robust Federated Learning with Partial Participation Stich, and Martin Jaggi

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:24:06.316284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T11:23:49.692262Z digest=sha256:2b4e5e3765d2165b890a877e5e78b987157cfe9eace4e3c66592101f6b383175

Observation 8a0ce6fb-9bd0-48e6-aa1f-9a4a9aa7e825 · outbound

This paper cites Gasnikov, and Gesualdo Scutari.

Delayed Momentum Aggregation: Communication-efficient Byzantine-robust Federated Learning with Partial Participation Gasnikov, and Gesualdo Scutari

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:24:06.127450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T11:23:49.852729Z digest=sha256:73795fa2acef34a6e40e0164ddc4931a397d76b3a86e8398dbd71122c657f963

Observation 1b22bc2c-f3c7-4f76-b6c6-3fc741bb91c1 · outbound

This paper cites Shostak, and Marshall C.

Delayed Momentum Aggregation: Communication-efficient Byzantine-robust Federated Learning with Partial Participation Shostak, and Marshall C

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:24:05.922659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T11:23:50.043376Z digest=sha256:3eb7611e902f3b0a18752a7b98254424a8e11aace77a7c428e62a398122049ac

Observation 117ee066-6da6-4232-b6f4-97704e416d3c · outbound

This paper cites First-order and stochastic optimization methods for machine learning.

Delayed Momentum Aggregation: Communication-efficient Byzantine-robust Federated Learning with Partial Participation First-order and stochastic optimization methods for machine learning

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:24:05.721505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T11:23:50.201362Z digest=sha256:75b8d40efe08157b094569b5d5352ece387baad6f2c1e7460b9f464a8d18cda2

Observation 2142b774-bf49-437c-83e4-4112e75bde4b · outbound

This paper cites Giannakis, and Qing Ling.

Delayed Momentum Aggregation: Communication-efficient Byzantine-robust Federated Learning with Partial Participation Giannakis, and Qing Ling

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:24:05.549658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T11:23:50.390559Z digest=sha256:50a678d78c37ee7cf0993459685616e65768a6e768e16766fd12c8e294917164

Observation 973d5637-4982-4e4c-9923-3f0c6bb3c769 · outbound

This paper cites Federated optimization in heterogeneous networks.

Delayed Momentum Aggregation: Communication-efficient Byzantine-robust Federated Learning with Partial Participation Federated optimization in heterogeneous networks

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:24:05.315135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T11:23:50.553348Z digest=sha256:4b1d47baada065f487956b1dac4e3aa82272abc336d450c6838b4d7cb8e0717e

Observation 95560e34-8912-48c4-8140-e8cd42f61033 · outbound

This paper cites PAGE: A simple and optimal probabilistic gradient estimator for nonconvex optimization.

Delayed Momentum Aggregation: Communication-efficient Byzantine-robust Federated Learning with Partial Participation PAGE: A simple and optimal probabilistic gradient estimator for nonconvex optimization

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:24:05.119872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T11:23:50.773223Z digest=sha256:132d3ead82a343d92876d41e0771ac6711ff3e15bdf05741a6693db3872fec8c

Observation ef161e42-99d6-4242-a1e0-eaeae3517b62 · outbound

This paper cites A universal catalyst for first-order opti- mization.

Delayed Momentum Aggregation: Communication-efficient Byzantine-robust Federated Learning with Partial Participation A universal catalyst for first-order opti- mization

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:24:04.914992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T11:23:50.952662Z digest=sha256:1f1941f4faf064f45d3703566e148ef7efb2906b49b3dc3d7b4988e45c4e6991

Observation 38816875-f62c-4f4b-83e1-638a70b993c5 · outbound

This paper cites Byzantine ro- bustness and partial participation can be achieved at once: Just clip gradient differences.

Delayed Momentum Aggregation: Communication-efficient Byzantine-robust Federated Learning with Partial Participation Byzantine ro- bustness and partial participation can be achieved at once: Just clip gradient differences

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:24:04.755939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T11:23:51.167173Z digest=sha256:a8282fd27a422ceb3a99fd93ba39c4041d4e6a25e02126ba04383d368140e6c5

Observation 1abf519d-ae37-45d1-b7b8-b6cba3fc27c9 · outbound

This paper cites Communication-efficient learning of deep networks from decentralized data.

Delayed Momentum Aggregation: Communication-efficient Byzantine-robust Federated Learning with Partial Participation Communication-efficient learning of deep networks from decentralized data

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:24:04.586718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T11:23:51.353768Z digest=sha256:6d4cf902ae07113a0e539c8ad43609c7312c5cb7ca5b0a1739f3ec4563e0c591

Observation 11a12552-3d13-4e4b-98ad-70c05c3af652 · outbound

This paper cites The hidden vulnerability of distributed learning in byzantium.

Delayed Momentum Aggregation: Communication-efficient Byzantine-robust Federated Learning with Partial Participation The hidden vulnerability of distributed learning in byzantium

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:24:04.398320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T11:23:51.615117Z digest=sha256:c3330320a5dca083314d9841f1ead9bb2ed8944e9cecbd896bbcc85d9fde65ac

Observation d1cf6f58-e4f4-4f91-aa12-4a9ba80c77b9 · outbound

This paper cites Distributed momentum for byzantine-resilient stochastic gradient descent.

Delayed Momentum Aggregation: Communication-efficient Byzantine-robust Federated Learning with Partial Participation Distributed momentum for byzantine-resilient stochastic gradient descent

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:24:04.229568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T11:23:51.781127Z digest=sha256:e4dfc0cab0f953bd12f3fd5dd54ba0a005aa1c202c5f1fdda13abb823a7be77f

Observation f9bc657d-5dfd-477e-80e0-3c39d28c8c11 · outbound

This paper cites Bach, Mathieu Even, and Blake E.

Delayed Momentum Aggregation: Communication-efficient Byzantine-robust Federated Learning with Partial Participation Bach, Mathieu Even, and Blake E

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:24:04.050712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T11:23:51.969157Z digest=sha256:bf6fb5908f06dbf0a0274e35a199e836514536a14f89b51d59fe5b579370e019

Observation e85fd7a1-3720-4e0d-9fbc-3317b31db6cf · outbound

This paper cites Distributed learning with compressed gradient differences.

Delayed Momentum Aggregation: Communication-efficient Byzantine-robust Federated Learning with Partial Participation Distributed learning with compressed gradient differences

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:24:03.877273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T11:23:52.062288Z digest=sha256:67488edb01b6ca266a80c1b77f6cea602abdb671249ccf4af9c97280b0c9b839

Observation ec55e135-eb39-429e-9ea2-2b0d1620ad9f · outbound

This paper cites an unresolved cited work.

Delayed Momentum Aggregation: Communication-efficient Byzantine-robust Federated Learning with Partial Participation Unresolved cited work

Reference 62

Resolution
unresolved
raw_fallback, observed 2026-08-05T11:24:03.713860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T11:23:52.235349Z digest=sha256:6bb8756b34f899b590f2c3dce2a7784018803d1e1a66d92e4a52c6c1052bd7be

Observation 3e40cb19-1ac3-47a8-a0bc-dd550899f861 · outbound

This paper cites Lectures on convex optimization.

Delayed Momentum Aggregation: Communication-efficient Byzantine-robust Federated Learning with Partial Participation Lectures on convex optimization

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:24:03.481129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T11:23:52.399957Z digest=sha256:ca4013827ace8781119dee6d5f176d28759991c1d2c499df6fc577c005fc89da

Observation 363aeb61-5dc3-41db-b894-060b509c5cf0 · outbound

This paper cites Billion-scale federated learning on mobile clients: a submodel design with tunable privacy.

Delayed Momentum Aggregation: Communication-efficient Byzantine-robust Federated Learning with Partial Participation Billion-scale federated learning on mobile clients: a submodel design with tunable privacy

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:24:03.285479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T11:23:52.575385Z digest=sha256:cef4e315656161e25842bd0cd41058b547d3039f14b5cfc6fe0392662992ffd8

Observation 256af660-00be-4c29-bcb2-89fbbe2e5cda · outbound

This paper cites Woodworth, Brian Bullins, and Nati Srebro.

Delayed Momentum Aggregation: Communication-efficient Byzantine-robust Federated Learning with Partial Participation Woodworth, Brian Bullins, and Nati Srebro

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:24:02.982404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T11:23:52.738141Z digest=sha256:2e9ab3643d8117958212bf20c9c404d03efbb4c75335272e7a8d75c87a73db84

Observation 080a50e7-92d5-442a-82e8-690d70a2ee05 · outbound

This paper cites Kakade, and Za ¨ıd Harchaoui.

Delayed Momentum Aggregation: Communication-efficient Byzantine-robust Federated Learning with Partial Participation Kakade, and Za ¨ıd Harchaoui

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:24:02.576939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T11:23:52.918896Z digest=sha256:1af65d8278e01bad02007bd213dc4a67580a593c5aae73c726b4e5e61b8e9650

Observation 4701573c-2323-43e4-ae60-c0edd3107f99 · outbound

This paper cites Distributed stochastic gradient tracking methods.

Delayed Momentum Aggregation: Communication-efficient Byzantine-robust Federated Learning with Partial Participation Distributed stochastic gradient tracking methods

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:24:02.214574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T11:23:53.097222Z digest=sha256:89950076a9679b51905322d1ddaf832b1e3272212a23817d49a2c56235c4d115

Observation 6c77cbe6-9282-4ccc-97d2-bf905fdf145d · outbound

This paper cites Charles, and Dimitris S.

Delayed Momentum Aggregation: Communication-efficient Byzantine-robust Federated Learning with Partial Participation Charles, and Dimitris S

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:24:01.891777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T11:23:53.329441Z digest=sha256:5fd0dc30e6496670c39c987af54d29816aab2056f017448f49fc7d27d1cb2207

Observation 8cf24a2a-a2ff-4647-9773-6d82bd624917 · outbound

This paper cites Communication compression for byzantine robust learning: New efficient algorithms and im- proved rates.

Delayed Momentum Aggregation: Communication-efficient Byzantine-robust Federated Learning with Partial Participation Communication compression for byzantine robust learning: New efficient algorithms and im- proved rates

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:24:01.417405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T11:23:53.482369Z digest=sha256:c4c603b50a0651ff36e659b1b387865fa5c99292c6461a4001dd982460d556e8

Observation 291140bb-d824-416e-a393-5454701972c0 · outbound

This paper cites On the byzantine robustness of clustered federated learning.

Delayed Momentum Aggregation: Communication-efficient Byzantine-robust Federated Learning with Partial Participation On the byzantine robustness of clustered federated learning

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:24:01.094519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T11:23:53.724136Z digest=sha256:0d92349059d574813d4323186dddb89a8de275f3decafef9f11c342b709c93a6

Observation 017ffac4-b42c-4c7c-ae82-26d4ca85334f · outbound

This paper cites Ordered momentum for asynchronous SGD.

Delayed Momentum Aggregation: Communication-efficient Byzantine-robust Federated Learning with Partial Participation Ordered momentum for asynchronous SGD

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:24:00.644224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T11:23:53.878085Z digest=sha256:ad790a5e707430074479468ee450fd927468e4711ef4a8c9e975b251286250fe

Observation d663735f-a515-4b8a-9ec1-d839ad7d06b9 · outbound

This paper cites Stich, Jean-Baptiste Cordonnier, and Martin Jaggi.

Delayed Momentum Aggregation: Communication-efficient Byzantine-robust Federated Learning with Partial Participation Stich, Jean-Baptiste Cordonnier, and Martin Jaggi

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:24:00.298878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T11:23:54.027089Z digest=sha256:9cc32bbb158126468fb9406c416ed8e79d87f58534b591e72c5d84deeea093b5

Observation 6712f1d3-56fd-4404-84b8-0a16818aaedd · outbound

This paper cites Momentum track- ing: Momentum acceleration for decentralized deep learning on heterogeneous data.

Delayed Momentum Aggregation: Communication-efficient Byzantine-robust Federated Learning with Partial Participation Momentum track- ing: Momentum acceleration for decentralized deep learning on heterogeneous data

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:23:59.925222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T11:23:54.260927Z digest=sha256:a2560da52d473a86c51f4be4e5ea2b9150b86a4b4ae72ccd4f1f6f9b06211784

Observation 1ec7a478-5337-4518-bc78-c48952e50597 · outbound

This paper cites Vincent Poor.

Delayed Momentum Aggregation: Communication-efficient Byzantine-robust Federated Learning with Partial Participation Vincent Poor

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:23:59.647402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T11:23:54.423381Z digest=sha256:10d3aa520a54d5095a23f5f8751cf9bdacb900681989b23c60b4a17fd806bf42

Observation 30bea42c-8c71-417d-8520-dc6d72cb76d7 · outbound

This paper cites A unified analysis of federated learning with arbitrary client participation.

Delayed Momentum Aggregation: Communication-efficient Byzantine-robust Federated Learning with Partial Participation A unified analysis of federated learning with arbitrary client participation

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:23:59.344160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T11:23:54.552540Z digest=sha256:107a5ef7d9935534b2621bc4be296c9ccbba0c5f244170ede457cee22bee8dae

Observation 6ee99e30-a692-4d52-b53b-e948a2673b65 · outbound

This paper cites Fall of empires: Breaking byzantine- tolerant SGD by inner product manipulation.

Delayed Momentum Aggregation: Communication-efficient Byzantine-robust Federated Learning with Partial Participation Fall of empires: Breaking byzantine- tolerant SGD by inner product manipulation

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:23:58.971338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T11:23:54.660711Z digest=sha256:f093e98d583359949f985c600e6d20a5af05627933c1066bb4fdbed4f315f3eb

Observation 711d9244-25c2-45e7-a519-2089a4695366 · outbound

This paper cites Zeno: Distributed stochastic gradient descent with suspicion-based fault-tolerance.

Delayed Momentum Aggregation: Communication-efficient Byzantine-robust Federated Learning with Partial Participation Zeno: Distributed stochastic gradient descent with suspicion-based fault-tolerance

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:23:58.587048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T11:23:54.790841Z digest=sha256:665012ff8a5c29fcbea553554e6e39202861b88fee8abda426a6044d095c5dde

Observation ecc309ce-6d46-4acd-9b25-16b69cf30768 · outbound

This paper cites Federated optimization under intermittent client availability.

Delayed Momentum Aggregation: Communication-efficient Byzantine-robust Federated Learning with Partial Participation Federated optimization under intermittent client availability

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:23:58.195008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T11:23:54.906122Z digest=sha256:1b4787730e1e05828de72c7a16d21ad93f32d031076e4276c1f6446da33d7fa3

Observation 7e26784b-37f6-4b0f-b0b1-d947d6745ec4 · outbound

This paper cites Achieving linear speedup with partial worker participation in non-iid federated learning.

Delayed Momentum Aggregation: Communication-efficient Byzantine-robust Federated Learning with Partial Participation Achieving linear speedup with partial worker participation in non-iid federated learning

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:23:57.795257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T11:23:55.044951Z digest=sha256:3223f9551869d2feafa7dca01e6aa8ed064142a52e62325916d840f12ef367d8

Observation 0688a384-cadb-4923-9522-9b6645e1d012 · outbound

This paper cites BASGD: buffered asynchronous SGD for byzantine learning.

Delayed Momentum Aggregation: Communication-efficient Byzantine-robust Federated Learning with Partial Participation BASGD: buffered asynchronous SGD for byzantine learning

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:23:57.483980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T11:23:55.165779Z digest=sha256:e5776217e807e4f680063e63bb9d95320c06442f4309166d0161aeb8621cb920

Observation 2a2228a3-a23e-4f7f-8c53-3fd96bce662a · outbound

This paper cites Bartlett.

Delayed Momentum Aggregation: Communication-efficient Byzantine-robust Federated Learning with Partial Participation Bartlett

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:23:57.196225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T11:23:55.297291Z digest=sha256:dab6ba53216991fe305aa202b803cbf214da956e117f9673c6ff31540a2bd4da

Observation 67f48b82-8e72-4509-bce0-b50e3e2e8347 · outbound

This paper cites Parallel restarted SGD with faster convergence and less communication: Demystifying why model averaging works for deep learning.

Delayed Momentum Aggregation: Communication-efficient Byzantine-robust Federated Learning with Partial Participation Parallel restarted SGD with faster convergence and less communication: Demystifying why model averaging works for deep learning

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:23:56.864763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T11:23:55.455602Z digest=sha256:aedebf2d44305c285f17509008f05326bb26f99b3c2558d22dd0454417467a21

Observation 8a625610-ca03-4047-af7e-1572d4d2efb3 · outbound

This paper cites Dhople, Wotao Yin, and Yang Liu.

Delayed Momentum Aggregation: Communication-efficient Byzantine-robust Federated Learning with Partial Participation Dhople, Wotao Yin, and Yang Liu

Reference 83

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:23:56.361763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T11:23:55.609414Z digest=sha256:1df84d4d166f80be2d176194c233f187b9a96c16363fa0a1a0fdabece9306309

Observation 6f3040af-6672-45ac-8e76-64098a093088 · outbound

This paper cites true gradient momentum.

Delayed Momentum Aggregation: Communication-efficient Byzantine-robust Federated Learning with Partial Participation true gradient momentum

Reference 84

Resolution
malformed identifier
raw_fallback, observed 2026-08-05T11:23:56.059750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T11:23:55.713858Z digest=sha256:7637dc63879989c4521d8e5821f42d63ac70f7a590446f190ee424c294c49e7c

Pith citing papers

No inbound Pith citation observations are available.