Pith. sign in

Paper Citation Record · LEDGER

What's in a Smoothness Constant? Tighter Rates for Local SGD with Bounded Second-order Heterogeneity

As of 7 August 2026, this Paper Citation Record lists 72 of 72 outbound references and 0 inbound Pith citation observations for arXiv:2607.14731.

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

pith.paper-citation-record.v1
2607.14731 v1

Coverage vector

measured 72 of 72 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T01:23:38.229914Z

measured 72 of 72 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

72 of 72 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved72
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5333c85c-15d2-480e-8d71-a1f24e0b6cf0 · outbound

This paper cites Revisiting consensus error: A fine-grained analysis of local sgd under second-order data heterogeneity.

What's in a Smoothness Constant? Tighter Rates for Local SGD with Bounded Second-order Heterogeneity Revisiting consensus error: A fine-grained analysis of local sgd under second-order data heterogeneity

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-02T01:23:29.801382Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:23:29.801382Z digest=sha256:26249710d3cbefe18209c41c4260f5db1edeb0e5fac64d0e14a7f974202692c2

Observation fe37dacc-1cc5-4c4b-9443-d2d9a4e3d7cd · outbound

This paper cites Federated learning: Collaborative machine learn- ing without centralized training data, Apr 2017.

What's in a Smoothness Constant? Tighter Rates for Local SGD with Bounded Second-order Heterogeneity Federated learning: Collaborative machine learn- ing without centralized training data, Apr 2017

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-02T01:23:29.911747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:23:29.911747Z digest=sha256:d342508a0d1e5a7e7576dea81e983aa9b672728d15ea0cd947699a1ff2069661

Observation 2148f948-01ab-44ea-bc42-d3748978e21f · outbound

This paper cites DiLoCo: Distributed Low-Communication Training of Language Models.

What's in a Smoothness Constant? Tighter Rates for Local SGD with Bounded Second-order Heterogeneity DiLoCo: Distributed Low-Communication Training of Language Models

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-02T01:23:30.172502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:23:30.172502Z digest=sha256:1a6ea84b43777eb54ee92826ee39f97ae5b96d1ac5da8a843b507035cdfe7c6c

Observation 207b0d2b-e4a1-48e8-a4aa-56a43eda292a · outbound

This paper cites Imagenet classification with deep convolutional neural networks.Advances in neural information processing systems, 25, 2012.

What's in a Smoothness Constant? Tighter Rates for Local SGD with Bounded Second-order Heterogeneity Imagenet classification with deep convolutional neural networks.Advances in neural information processing systems, 25, 2012

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-02T01:23:30.283353Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:23:30.283353Z digest=sha256:b2177068549c8b53b82663d9751cf057c14691f9dfc54ef1831e60187342d0a8

Observation 7f934804-aacf-4bde-965e-8c355ad5e9ac · outbound

This paper cites Communication-Efficient Learning of Deep Networks from Decentralized Data.

What's in a Smoothness Constant? Tighter Rates for Local SGD with Bounded Second-order Heterogeneity Communication-Efficient Learning of Deep Networks from Decentralized Data

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-02T01:23:30.427304Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:23:30.427304Z digest=sha256:9f3ba49cc3e2d3e4d3729c58ce6187f750e556eea204f893d5a06a536efddaa6

Observation 1e4d267e-c7e5-4bae-9513-aab695b485fb · outbound

This paper cites Graph oracle models, lower bounds, and gaps for parallel stochastic optimization.Advances in neural information processing systems, 31, 2018.(Cited on pages 2 and 3).

What's in a Smoothness Constant? Tighter Rates for Local SGD with Bounded Second-order Heterogeneity Graph oracle models, lower bounds, and gaps for parallel stochastic optimization.Advances in neural information processing systems, 31, 2018.(Cited on pages 2 and 3)

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-02T01:23:30.554670Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:23:30.554670Z digest=sha256:0a1f285caa6c492608ed2c8bc291b9c2194de476fed30591238d63273382debe

Observation 0344b03b-56c0-45ae-9f90-c0f295747a33 · outbound

This paper cites Advances and Open Problems in Federated Learning.

What's in a Smoothness Constant? Tighter Rates for Local SGD with Bounded Second-order Heterogeneity Advances and Open Problems in Federated Learning

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-02T01:23:30.669742Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:23:30.669742Z digest=sha256:f0de9ee420bcdabe843fc5a40f7d2ba5ee7d773b46db57607720c1a26a6573af

Observation 2e0a2dd5-aac2-4227-a3b7-2a8d284aa987 · outbound

This paper cites A Field Guide to Federated Optimization.

What's in a Smoothness Constant? Tighter Rates for Local SGD with Bounded Second-order Heterogeneity A Field Guide to Federated Optimization

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-02T01:23:30.815693Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:23:30.815693Z digest=sha256:643a5bb842c3e0ec42a112b2278f4eeade45ee2ce56d99cb476cb47bbd4b9fc1

Observation 19b565ad-fe32-4295-abc8-50d32e290356 · outbound

This paper cites Scaffold: Stochastic controlled averaging for federated learning.

What's in a Smoothness Constant? Tighter Rates for Local SGD with Bounded Second-order Heterogeneity Scaffold: Stochastic controlled averaging for federated learning

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-02T01:23:30.935131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:23:30.935131Z digest=sha256:3bacf85dbbfdf2f281805030fe736c07618e80c32ec1650adeacf161867431fd

Observation 6e33e83d-e2f1-4d37-a159-2cbcd2c7db36 · outbound

This paper cites A stochastic newton algorithm for distributed convex optimization.Advances in Neural Informa- tion Processing Systems, 34, 2021.(Cited on page 2).

What's in a Smoothness Constant? Tighter Rates for Local SGD with Bounded Second-order Heterogeneity A stochastic newton algorithm for distributed convex optimization.Advances in Neural Informa- tion Processing Systems, 34, 2021.(Cited on page 2)

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-02T01:23:31.053408Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:23:31.053408Z digest=sha256:4d2b7d0da3ad836bb9f0cb36f1cb66c32104cf674da5599bffcc6573668797d2

Observation 25fcec20-b498-4928-aca8-c9d154b4fdc7 · outbound

This paper cites To- wards optimal communication complexity in distributed non-convex optimization.

What's in a Smoothness Constant? Tighter Rates for Local SGD with Bounded Second-order Heterogeneity To- wards optimal communication complexity in distributed non-convex optimization

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-02T01:23:31.161062Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:23:31.161062Z digest=sha256:5d120589d8650b6ffd40905cee55f4e313156cfb232d9ba7a6e35c77b2b827c0

Observation b265dfbc-634f-4eb3-b339-625f06273690 · outbound

This paper cites Proxskip: Yes! local gradient steps provably lead to communication acceleration! finally! InInternational Conference on Machine Learning, pages 15750–15769.

What's in a Smoothness Constant? Tighter Rates for Local SGD with Bounded Second-order Heterogeneity Proxskip: Yes! local gradient steps provably lead to communication acceleration! finally! InInternational Conference on Machine Learning, pages 15750–15769

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-02T01:23:31.259764Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:23:31.259764Z digest=sha256:aa3100c77b99f4449b7207129801fcca8e2bbe19f72319ee031c02600cf441d8

Observation b8fc6ab5-0b26-402b-b370-e4e120330335 · outbound

This paper cites Fedsplit: An algorithmic framework for fast federated optimization.Advances in neural information processing systems, 33:7057–7066, 2020.(Cited on page 2) 59.

What's in a Smoothness Constant? Tighter Rates for Local SGD with Bounded Second-order Heterogeneity Fedsplit: An algorithmic framework for fast federated optimization.Advances in neural information processing systems, 33:7057–7066, 2020.(Cited on page 2) 59

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-02T01:23:31.347294Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:23:31.347294Z digest=sha256:cb516fb09a965568b20008bccb5672224be3ddacbc3958215910cf6d8a82598e

Observation dad2f54b-edcd-4f6a-aa87-2ac8eed99f70 · outbound

This paper cites Efficient large-scale distributed training of conditional maximum entropy models.Advances in neural information processing systems, 22, 2009.(Cited on pages 2 and 3).

What's in a Smoothness Constant? Tighter Rates for Local SGD with Bounded Second-order Heterogeneity Efficient large-scale distributed training of conditional maximum entropy models.Advances in neural information processing systems, 22, 2009.(Cited on pages 2 and 3)

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-02T01:23:31.425227Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:23:31.425227Z digest=sha256:1463f59ac07d8d63e24b9aeacf0f27b1d5c9631a85cf78646d6e1bc23925686a

Observation 0756debe-2d47-40df-ad33-e0802b91ecdd · outbound

This paper cites Optimal distributed online prediction using mini-batches.Journal of Machine Learning Research, 13(1), 2012.(Cited on page 2).

What's in a Smoothness Constant? Tighter Rates for Local SGD with Bounded Second-order Heterogeneity Optimal distributed online prediction using mini-batches.Journal of Machine Learning Research, 13(1), 2012.(Cited on page 2)

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-02T01:23:31.527905Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:23:31.527905Z digest=sha256:038a56da22fd5416ed7b764306de8e7b180772f19b57d37b93234bfb29a2e10b

Observation 7a06bcfd-7e34-4d99-91c8-3d5019906aef · outbound

This paper cites Local SGD Converges Fast and Communicates Little.

What's in a Smoothness Constant? Tighter Rates for Local SGD with Bounded Second-order Heterogeneity Local SGD Converges Fast and Communicates Little

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-02T01:23:31.636978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:23:31.636978Z digest=sha256:79193c01563702163e2f4cc1f0ce1db760904ea4940e47fc33c8d5ecb0bb038a

Observation 14996d1a-09e4-4e59-b2ee-ec1062246cec · outbound

This paper cites Is local sgd better than minibatch sgd? In International Conference on Machine Learning, pages 10334–10343.

What's in a Smoothness Constant? Tighter Rates for Local SGD with Bounded Second-order Heterogeneity Is local sgd better than minibatch sgd? In International Conference on Machine Learning, pages 10334–10343

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-02T01:23:31.745281Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:23:31.745281Z digest=sha256:34c53099295e6ba72335950b9ec95acc8a72aaab21ba20a7e708baf0e7a9486d

Observation 2b4e8741-eae6-49d8-a965-23ec119f669b · outbound

This paper cites Communication-efficient distributed optimization using an approximate newton-type method.

What's in a Smoothness Constant? Tighter Rates for Local SGD with Bounded Second-order Heterogeneity Communication-efficient distributed optimization using an approximate newton-type method

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-02T01:23:31.916332Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:23:31.916332Z digest=sha256:75d245b37a4e8c219ffd5a1482e62ef8c8373c498a9ff14ae20a7f29d8eb786a

Observation 8557a0fb-60e2-476d-8e54-28046de04be3 · outbound

This paper cites Distributed optimization based on gradient tracking revisited: Enhancing convergence rate via surrogation.

What's in a Smoothness Constant? Tighter Rates for Local SGD with Bounded Second-order Heterogeneity Distributed optimization based on gradient tracking revisited: Enhancing convergence rate via surrogation

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-02T01:23:32.049631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:23:32.049631Z digest=sha256:1b06d35a90e105cba92ad28dae2a2c6af7a9c24e63c9ae4bc7e9c413ca9514e7

Observation a7d2cbdc-c4cf-4957-94a3-19bd0905c516 · outbound

This paper cites Optimal gradient sliding and its application to optimal distributed optimization under similarity.

What's in a Smoothness Constant? Tighter Rates for Local SGD with Bounded Second-order Heterogeneity Optimal gradient sliding and its application to optimal distributed optimization under similarity

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-02T01:23:32.195231Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:23:32.195231Z digest=sha256:be0f551e6765ab6a1f99eaf32ea85ae13d4104abad78a1528e33868f5ca72caa

Observation 0e4881f0-f920-4e79-adce-d56fb15177c2 · outbound

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

What's in a Smoothness Constant? Tighter Rates for Local SGD with Bounded Second-order Heterogeneity Mime: Mimicking Centralized Stochastic Algorithms in Federated Learning

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-02T01:23:32.303301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:23:32.303301Z digest=sha256:0060cdeb30bc7eb67594b8135dc14d4c12e6b17a28522bdf1e5d550404fe8bef

Observation 9b3d5ac0-bf3d-4774-a6d2-2969b9a37b45 · outbound

This paper cites Bias-Variance Reduced Local SGD for Less Heterogeneous Federated Learning.

What's in a Smoothness Constant? Tighter Rates for Local SGD with Bounded Second-order Heterogeneity Bias-Variance Reduced Local SGD for Less Heterogeneous Federated Learning

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-02T01:23:32.455654Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:23:32.455654Z digest=sha256:6e7d2adf09c49477c910a7497ec4d7e229e007093788bfe9f51fb9f0b41d573c

Observation 7c5c9a13-a042-458c-a165-4de668db525d · outbound

This paper cites Federated optimization with doubly regularized drift correction.

What's in a Smoothness Constant? Tighter Rates for Local SGD with Bounded Second-order Heterogeneity Federated optimization with doubly regularized drift correction

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-02T01:23:32.585018Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:23:32.585018Z digest=sha256:067fa665bab445eb57d140a937789fb0cb527505087495651ae8690da3fbd0aa

Observation 593f9e9e-abfb-4581-97bd-81e0f1364a00 · outbound

This paper cites Stabilized proximal-point methods for federated optimization.

What's in a Smoothness Constant? Tighter Rates for Local SGD with Bounded Second-order Heterogeneity Stabilized proximal-point methods for federated optimization

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-02T01:23:32.673629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:23:32.673629Z digest=sha256:eb1ce3e6f4de14d183a2e3366638dd523fbbcfaa5be37da0141d7886b02cc7d5

Observation e901d9c5-fe22-4e8b-8c52-c582257449ef · outbound

This paper cites The limits and potentials of local sgd for distributed heterogeneous learning with intermittent communication.

What's in a Smoothness Constant? Tighter Rates for Local SGD with Bounded Second-order Heterogeneity The limits and potentials of local sgd for distributed heterogeneous learning with intermittent communication

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-02T01:23:32.768382Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:23:32.768382Z digest=sha256:6fea0afae3bd979cfec73768107a35ad321041de41d589f25eaf53780fb71ee5

Observation 6c69e06c-a653-44cb-9e62-babcaa48bc77 · outbound

This paper cites Parallelized stochastic gradient descent.Advances in neural information processing systems, 23, 2010.(Cited on page 3).

What's in a Smoothness Constant? Tighter Rates for Local SGD with Bounded Second-order Heterogeneity Parallelized stochastic gradient descent.Advances in neural information processing systems, 23, 2010.(Cited on page 3)

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-02T01:23:32.905043Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:23:32.905043Z digest=sha256:e5b9e01e62f7099e7e8ec6848d540372a7990c66f1ed38ad4b0a44504742d4e1

Observation 2cc8deab-3d8a-4477-bba5-725b02071f76 · outbound

This paper cites Parallel SGD: When does averaging help?.

What's in a Smoothness Constant? Tighter Rates for Local SGD with Bounded Second-order Heterogeneity Parallel SGD: When does averaging help?

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-02T01:23:33.058355Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:23:33.058355Z digest=sha256:23a4c18b31cdcf9b0ea8ee0e400071f36aca56f51c396ed3f8442b8ab53df180

Observation a21721e3-94c2-4571-b6d4-8e85301388e5 · outbound

This paper cites Communication trade-offs for local-sgd with large step size.Advances in Neural Information Processing Systems, 32, 2019.(Cited on page 3).

What's in a Smoothness Constant? Tighter Rates for Local SGD with Bounded Second-order Heterogeneity Communication trade-offs for local-sgd with large step size.Advances in Neural Information Processing Systems, 32, 2019.(Cited on page 3)

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-02T01:23:33.183436Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:23:33.183436Z digest=sha256:f3a44b507db8ff7cd188c36a1e7e5b754df51cc8b24e327f4cb9cbe3a66f8d6a

Observation 981d2a50-16ff-4a7e-a6cf-8b828a669bec · outbound

This paper cites Tighter theory for local sgd on identical and heterogeneous data.

What's in a Smoothness Constant? Tighter Rates for Local SGD with Bounded Second-order Heterogeneity Tighter theory for local sgd on identical and heterogeneous data

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-02T01:23:33.297384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:23:33.297384Z digest=sha256:85d7808e846b080f69a6e17cf78ec4ae4dc6c93daf37aca30058334c82f8584b

Observation fc461de2-3810-4784-b3fa-078a6f1f349f · outbound

This paper cites A unified theory of decentralized sgd with changing topology and local updates.

What's in a Smoothness Constant? Tighter Rates for Local SGD with Bounded Second-order Heterogeneity A unified theory of decentralized sgd with changing topology and local updates

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-02T01:23:33.409165Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:23:33.409165Z digest=sha256:d60ff09bfc6ebbf0c871b8409af71a56f4d8cfd101170d2209eb0d9e990e4de0

Observation ec4b2f0b-f933-4668-84f7-f1fba4f2e131 · outbound

This paper cites an unresolved cited work.

What's in a Smoothness Constant? Tighter Rates for Local SGD with Bounded Second-order Heterogeneity Unresolved cited work

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-02T01:23:33.518436Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:23:33.518436Z digest=sha256:f727850dd2f2b59adeccc462014de5f5cb0d1872cda9ade718d54f9b25385a6a

Observation ee988099-68cd-4909-9d77-4d8bec448418 · outbound

This paper cites Federated accelerated stochastic gradient descent.Advances in Neural Information Processing Systems, 33:5332–5344, 2020.(Cited on page 3).

What's in a Smoothness Constant? Tighter Rates for Local SGD with Bounded Second-order Heterogeneity Federated accelerated stochastic gradient descent.Advances in Neural Information Processing Systems, 33:5332–5344, 2020.(Cited on page 3)

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-02T01:23:33.608093Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:23:33.608093Z digest=sha256:76422c0076563e461c8f0e3612bb62f84cade302e97e6766b40d4df44e867699

Observation 078753aa-ddef-4710-84b1-48f0416c7b6c · outbound

This paper cites The min-max complexity of distributed stochastic convex optimization with intermittent communication.

What's in a Smoothness Constant? Tighter Rates for Local SGD with Bounded Second-order Heterogeneity The min-max complexity of distributed stochastic convex optimization with intermittent communication

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-02T01:23:33.764309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:23:33.764309Z digest=sha256:da2d50df1963577c199d602f0d1abc22c2cf95a47615c30b80e25e3cf59b0391

Observation 1045e958-2ddc-4e31-b309-b5cea591628d · outbound

This paper cites The Minimax Complexity of Distributed Optimization.

What's in a Smoothness Constant? Tighter Rates for Local SGD with Bounded Second-order Heterogeneity The Minimax Complexity of Distributed Optimization

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-02T01:23:33.887318Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:23:33.887318Z digest=sha256:53b4c789377f2ebb820644829ef90f92a3ca17e136caea3dd6f7d7811f83d1ca

Observation 174e4db0-e822-4372-933b-cac6219dbe89 · outbound

This paper cites Sharp bounds for federated averaging (local sgd) and continuous perspective.

What's in a Smoothness Constant? Tighter Rates for Local SGD with Bounded Second-order Heterogeneity Sharp bounds for federated averaging (local sgd) and continuous perspective

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-02T01:23:34.003071Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:23:34.003071Z digest=sha256:76b60b50ec40675d97b8052d039d7fc6999d90ff675642e367db8aad19e7e6b5

Observation 94606414-ef0b-4efa-a469-a8b6a066f6a1 · outbound

This paper cites On the Unreasonable Effectiveness of Federated Averaging with Heterogeneous Data.

What's in a Smoothness Constant? Tighter Rates for Local SGD with Bounded Second-order Heterogeneity On the Unreasonable Effectiveness of Federated Averaging with Heterogeneous Data

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-02T01:23:34.128102Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:23:34.128102Z digest=sha256:0774e92014edfa45d605f673208a8cb5276c6b2d7c7820e9883bb1a1c09860b0

Observation adf91b17-ae8f-405a-9d3a-9e686902fec1 · outbound

This paper cites Federated online and bandit convex optimization.

What's in a Smoothness Constant? Tighter Rates for Local SGD with Bounded Second-order Heterogeneity Federated online and bandit convex optimization

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-02T01:23:34.290366Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:23:34.290366Z digest=sha256:ffa07eabc7d312d55ef6b070ac8141ceb00bece4b657ded729b536b209717fd9

Observation bf303262-c5b1-4468-865c-b258ff32112f · outbound

This paper cites On the still unreasonable effectiveness of federated averaging for heterogeneous distributed learning.

What's in a Smoothness Constant? Tighter Rates for Local SGD with Bounded Second-order Heterogeneity On the still unreasonable effectiveness of federated averaging for heterogeneous distributed learning

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-02T01:23:34.412226Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:23:34.412226Z digest=sha256:83fe306f2efecb294d72be040cd973b54d8a75abfb146877e9ead70acaaf590f

Observation e61088c8-7efe-4cdf-b947-aaaca15d607b · outbound

This paper cites Refined analysis of constant step size federated averaging and federated richardson- romberg extrapolation.

What's in a Smoothness Constant? Tighter Rates for Local SGD with Bounded Second-order Heterogeneity Refined analysis of constant step size federated averaging and federated richardson- romberg extrapolation

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-02T01:23:34.536439Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:23:34.536439Z digest=sha256:ba68555b499b38aadacd0cb47a396a566241cda7d12badced00b0ffd89295263

Observation ec1363b4-437c-4472-83a7-f59a4de47b90 · outbound

This paper cites What Makes Local Updates Effective: The Role of Data Heterogeneity and Smoothness.

What's in a Smoothness Constant? Tighter Rates for Local SGD with Bounded Second-order Heterogeneity What Makes Local Updates Effective: The Role of Data Heterogeneity and Smoothness

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-02T01:23:34.666750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:23:34.666750Z digest=sha256:8bff28d58276a728c3e54ac882979f8bdbf922c35e79d2ee01f01789d9f42259

Observation 580c4612-1c30-4bb8-bd24-dbeb03aa1177 · outbound

This paper cites Revisiting LocalSGD and SCAFFOLD: Improved Rates and Missing Analysis.

What's in a Smoothness Constant? Tighter Rates for Local SGD with Bounded Second-order Heterogeneity Revisiting LocalSGD and SCAFFOLD: Improved Rates and Missing Analysis

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-02T01:23:34.793452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:23:34.793452Z digest=sha256:53f58730de4bb57650d2c5e092bd81c99ba98d6c9bb793a74fb80fda68717949

Observation d78ea2bf-f976-4365-8086-664496b4677d · outbound

This paper cites Understanding outer optimizers in local sgd: Learning rates, momentum, and acceleration.

What's in a Smoothness Constant? Tighter Rates for Local SGD with Bounded Second-order Heterogeneity Understanding outer optimizers in local sgd: Learning rates, momentum, and acceleration

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-02T01:23:34.902190Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:23:34.902190Z digest=sha256:d9aa7e8f766d10382310204e87ad1c0083a22dd0c014cf741cd8b98c6314a651

Observation 6811ed37-4c4c-4afc-a87e-a9ada013e3fe · outbound

This paper cites Communication-Efficient Language Model Training Scales Reliably and Robustly: Scaling Laws for DiLoCo.

What's in a Smoothness Constant? Tighter Rates for Local SGD with Bounded Second-order Heterogeneity Communication-Efficient Language Model Training Scales Reliably and Robustly: Scaling Laws for DiLoCo

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-02T01:23:35.023489Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:23:35.023489Z digest=sha256:560693950ce69d17898fd73c39a0c179aa29f61df842a81c22ac07c1a555823e

Observation 921a40a5-c45f-412b-be36-dcf97bb0c60b · outbound

This paper cites MuLoCo: Muon is a practical inner optimizer for DiLoCo.

What's in a Smoothness Constant? Tighter Rates for Local SGD with Bounded Second-order Heterogeneity MuLoCo: Muon is a practical inner optimizer for DiLoCo

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-02T01:23:35.139882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:23:35.139882Z digest=sha256:7e8dda28544a0e67510a25104f3666a3a8b6a34e4b2fc68442959c8d548b88a9

Observation be95cc7f-8847-40b2-a9c4-a108dad60c63 · outbound

This paper cites Sparsified sgd with memory.

What's in a Smoothness Constant? Tighter Rates for Local SGD with Bounded Second-order Heterogeneity Sparsified sgd with memory

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-02T01:23:35.251915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:23:35.251915Z digest=sha256:333c8cc08dde65f4cb0709b398076b8f1457e7e974443baeaa18cff105ef5139

Observation 3b4ff6c2-3fdb-4752-b842-a2c29a0cd660 · outbound

This paper cites Error feedback fixes signsgd and other gradient compression schemes.

What's in a Smoothness Constant? Tighter Rates for Local SGD with Bounded Second-order Heterogeneity Error feedback fixes signsgd and other gradient compression schemes

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-02T01:23:35.410514Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:23:35.410514Z digest=sha256:6bc71d3c0d1a1a9c8f2e2f64e821250c6bb5b29ef3716f27683a9042e5f94a1b

Observation 691d8c5f-66d3-446e-b4b6-5555961b6e9a · outbound

This paper cites EControl: Fast distributed optimization with compression and error control.

What's in a Smoothness Constant? Tighter Rates for Local SGD with Bounded Second-order Heterogeneity EControl: Fast distributed optimization with compression and error control

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-02T01:23:35.553559Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:23:35.553559Z digest=sha256:ad12615a5a498cf8d8167319ec4e6437e28340d7165a284fc30768374c54adc0

Observation 7dbcb4da-4a0d-4434-9921-f4044207936d · outbound

This paper cites Federated learning with partial model personalization.

What's in a Smoothness Constant? Tighter Rates for Local SGD with Bounded Second-order Heterogeneity Federated learning with partial model personalization

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-02T01:23:35.689926Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:23:35.689926Z digest=sha256:442ec0193bfb7564c2b987d40f17e4582c69c79203f52b8a29958349f4dce7f4

Observation 393942da-e835-4fe6-aebd-28ab3573fe7a · outbound

This paper cites Partially personalized federated learning: Breaking the curse of data heterogeneity.Transactions on Machine Learning Research, 2025.

What's in a Smoothness Constant? Tighter Rates for Local SGD with Bounded Second-order Heterogeneity Partially personalized federated learning: Breaking the curse of data heterogeneity.Transactions on Machine Learning Research, 2025

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-02T01:23:35.878690Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:23:35.878690Z digest=sha256:58d24bbf72c00e1a340a6b1939ec9446f522665ec23b005da43f12aa9f5e0177

Observation 9c82f1c9-7782-40ce-ba79-ce7255b56c2c · outbound

This paper cites The convergence of sparsified gradient methods.

What's in a Smoothness Constant? Tighter Rates for Local SGD with Bounded Second-order Heterogeneity The convergence of sparsified gradient methods

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-02T01:23:35.979529Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:23:35.979529Z digest=sha256:3ac1958750a391f155e6d5719c81ba9e71b92636bb1ca28e815582df5bad0b34

Observation 5879b3de-5128-4280-a70e-1ba2c87c49bb · outbound

This paper cites On maintaining linear con- vergence of distributed learning and optimization under limited communication.

What's in a Smoothness Constant? Tighter Rates for Local SGD with Bounded Second-order Heterogeneity On maintaining linear con- vergence of distributed learning and optimization under limited communication

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-02T01:23:36.089958Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:23:36.089958Z digest=sha256:4b3aa098a379513ca86c9ddb6f059342eee109d5abdbf2aaf332afce3f675481

Observation 47fd1cef-baf1-451c-a22e-8abaf26c5ea6 · outbound

This paper cites Communication-computation efficient gradient coding.

What's in a Smoothness Constant? Tighter Rates for Local SGD with Bounded Second-order Heterogeneity Communication-computation efficient gradient coding

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-02T01:23:36.189427Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:23:36.189427Z digest=sha256:2e597895030416ad59d3dea9db9f0fc6cf8295bcf29a1960447c8adf9cfde8bf

Observation 236027ff-6a7b-45ec-975e-888553c6a9e0 · outbound

This paper cites The error-feedback framework: Better rates for sgd with delayed gradients and compressed updates.Journal of Machine Learning Research, 2020.(Cited on page 3).

What's in a Smoothness Constant? Tighter Rates for Local SGD with Bounded Second-order Heterogeneity The error-feedback framework: Better rates for sgd with delayed gradients and compressed updates.Journal of Machine Learning Research, 2020.(Cited on page 3)

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-02T01:23:36.331291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:23:36.331291Z digest=sha256:fbc437f9a49ad53114e0a80af09f670673099f1ec0d7e8eebbe50c8d1ca54f4f

Observation 62d35fd1-569c-4db5-81f2-8ba7722aae2b · outbound

This paper cites Asgrad: A sharp unified analysis of asynchronous-sgd algorithms.

What's in a Smoothness Constant? Tighter Rates for Local SGD with Bounded Second-order Heterogeneity Asgrad: A sharp unified analysis of asynchronous-sgd algorithms

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-02T01:23:36.453567Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:23:36.453567Z digest=sha256:b75967d33f7c74a2692429c495de064cfc21d0a2e68986a479cfc2a049552be8

Observation 5eb5423e-55fd-44c7-a728-b1ffef3404e3 · outbound

This paper cites Federated learning with differential privacy: Algorithms and performance analysis.IEEE transactions on information forensics and security, 15:3454–3469, 2020.(Cited on page 3).

What's in a Smoothness Constant? Tighter Rates for Local SGD with Bounded Second-order Heterogeneity Federated learning with differential privacy: Algorithms and performance analysis.IEEE transactions on information forensics and security, 15:3454–3469, 2020.(Cited on page 3)

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-02T01:23:36.502435Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:23:36.502435Z digest=sha256:3d27505290828dcd184782d98ce88c8a27e8cab5739dc127df82966b25a2a9a1

Observation 2dfd85cd-3956-4288-a460-65c2e2d79b52 · outbound

This paper cites Shuffled model of differential privacy in federated learning.

What's in a Smoothness Constant? Tighter Rates for Local SGD with Bounded Second-order Heterogeneity Shuffled model of differential privacy in federated learning

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-02T01:23:36.562785Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:23:36.562785Z digest=sha256:6e8fedf805e0cefdd0582f1e2a3764a765721e18de8755e0682f4e7d024e2a0e

Observation d0e10e10-6a80-4a6b-b4cb-8eae72300761 · outbound

This paper cites Private non-convex federated learning without a trusted server.

What's in a Smoothness Constant? Tighter Rates for Local SGD with Bounded Second-order Heterogeneity Private non-convex federated learning without a trusted server

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-02T01:23:36.703911Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:23:36.703911Z digest=sha256:f08dc886eb5f348b8639f727cbfb7092841b4e39e1ef85359c7220361e7ce879

Observation 129b7927-40d8-4a85-a41b-78fe2a9efe82 · outbound

This paper cites Diff2: Differential private optimization via gradient differ- ences for nonconvex distributed learning.

What's in a Smoothness Constant? Tighter Rates for Local SGD with Bounded Second-order Heterogeneity Diff2: Differential private optimization via gradient differ- ences for nonconvex distributed learning

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-02T01:23:36.864249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:23:36.864249Z digest=sha256:7171bb01ca1b884acbae0e5f813a2f27a4642d59fe93c3ec1ae59621f746137a

Observation 3b19f9dd-1792-425a-8c37-462286ff828e · outbound

This paper cites Efficient private federated non-convex optimization with shuffled model.

What's in a Smoothness Constant? Tighter Rates for Local SGD with Bounded Second-order Heterogeneity Efficient private federated non-convex optimization with shuffled model

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-02T01:23:36.936692Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:23:36.936692Z digest=sha256:847525b652089377c6815bb10eed26bae0d67a8a199a78262d3881e056218b2d

Observation c5b17f8e-762c-4ae2-8128-1a30c17cb166 · outbound

This paper cites Double momentum and error feedback for clipping with fast rates and differential privacy.arXiv preprint arXiv:2502.11682, 2025.(Cited on page 3) 62.

What's in a Smoothness Constant? Tighter Rates for Local SGD with Bounded Second-order Heterogeneity Double momentum and error feedback for clipping with fast rates and differential privacy.arXiv preprint arXiv:2502.11682, 2025.(Cited on page 3) 62

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-02T01:23:36.996395Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:23:36.996395Z digest=sha256:66674383f0d1f10191228ca65d180f1212b22e2c2cf76f5384e7dd706219ada8

Observation b46527ca-41a9-4d39-8be8-2e9dd294e0b9 · outbound

This paper cites Smoothed Normalization for Efficient Distributed Private Optimization.

What's in a Smoothness Constant? Tighter Rates for Local SGD with Bounded Second-order Heterogeneity Smoothed Normalization for Efficient Distributed Private Optimization

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-02T01:23:37.113173Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:23:37.113173Z digest=sha256:34cdd9fc71860c93d4bebda98887a5acdc27aec571f34b17988516c8c9894d7a

Observation 2ade7067-c53e-4fec-bdac-84ae4241bb1f · outbound

This paper cites Byzantine stochastic gradient descent.Advances in neural information processing systems, 31, 2018.(Cited on page 3).

What's in a Smoothness Constant? Tighter Rates for Local SGD with Bounded Second-order Heterogeneity Byzantine stochastic gradient descent.Advances in neural information processing systems, 31, 2018.(Cited on page 3)

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-02T01:23:37.207654Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:23:37.207654Z digest=sha256:e270b14a49dc3c339ad8bb0140dfcc7bbb687d8666d1154774ad036f6d06d793

Observation e03a5f9e-2c6d-420c-8295-bee7f8012e39 · outbound

This paper cites Learning from history for byzantine robust optimization.

What's in a Smoothness Constant? Tighter Rates for Local SGD with Bounded Second-order Heterogeneity Learning from history for byzantine robust optimization

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-02T01:23:37.249182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:23:37.249182Z digest=sha256:833fec1cbf369ab4b2881f11ad7f20673a08baaf94d012e4a75d24431e0e2edf

Observation 82c03000-1081-49f1-958b-5f24e42a8649 · outbound

This paper cites Byzantine-robust and differentially private federated optimization under weaker assumptions.

What's in a Smoothness Constant? Tighter Rates for Local SGD with Bounded Second-order Heterogeneity Byzantine-robust and differentially private federated optimization under weaker assumptions

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-02T01:23:37.326765Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:23:37.326765Z digest=sha256:10ed008acd0c1dfa502a94a44868b4dd2b4ba714d486e52eb17e5622518cb0ff

Observation b561a93c-3057-4cf1-a937-6c61e1e04077 · outbound

This paper cites On the Outsized Importance of Learning Rates in Local Update Methods.

What's in a Smoothness Constant? Tighter Rates for Local SGD with Bounded Second-order Heterogeneity On the Outsized Importance of Learning Rates in Local Update Methods

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-02T01:23:37.433836Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:23:37.433836Z digest=sha256:7af1500b268baafba722b52202f4a281d65c82236ec8fe8b9156a1571d87774a

Observation a2dfdf7c-993d-4feb-9638-8a239feb9719 · outbound

This paper cites Don't Use Large Mini-Batches, Use Local SGD.

What's in a Smoothness Constant? Tighter Rates for Local SGD with Bounded Second-order Heterogeneity Don't Use Large Mini-Batches, Use Local SGD

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-02T01:23:37.539772Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:23:37.539772Z digest=sha256:eb9f9b37882eadce32d61faec6dd1a060763e3a03b0c495aaefd39b5dcb538eb

Observation 0d80bc5a-f943-4357-8b2b-f078ca758424 · outbound

This paper cites Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour.

What's in a Smoothness Constant? Tighter Rates for Local SGD with Bounded Second-order Heterogeneity Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-02T01:23:37.653772Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:23:37.653772Z digest=sha256:aa48518351b8836038d778f213142d327eb73c97ea4cd2bc44e8ad20ff027651

Observation 6a12d866-3385-412c-a97a-027761c28e97 · outbound

This paper cites Collaborative pac learning.

What's in a Smoothness Constant? Tighter Rates for Local SGD with Bounded Second-order Heterogeneity Collaborative pac learning

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-02T01:23:37.767708Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:23:37.767708Z digest=sha256:8cc6e867699306b8f65d36c94b23f3d1a592cdf8165ba9712a6b05ccc281e32a

Observation b1eee434-dff8-41e9-aeb3-415144cee9d1 · outbound

This paper cites On the Effect of Defections in Federated Learning and How to Prevent Them.

What's in a Smoothness Constant? Tighter Rates for Local SGD with Bounded Second-order Heterogeneity On the Effect of Defections in Federated Learning and How to Prevent Them

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-02T01:23:37.851410Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:23:37.851410Z digest=sha256:d0e8bbf8d47f5087b4d359c355023f177bbcf84a66b3a5b45ae004c8a089ec5a

Observation c539fe00-4a7c-441c-9992-d8e19325b983 · outbound

This paper cites FedChain: Chained Algorithms for Near-Optimal Communication Cost in Federated Learning.

What's in a Smoothness Constant? Tighter Rates for Local SGD with Bounded Second-order Heterogeneity FedChain: Chained Algorithms for Near-Optimal Communication Cost in Federated Learning

Reference 71

Resolution
unresolved
no resolver link, observed 2026-08-02T01:23:38.000279Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:23:38.000279Z digest=sha256:9bbbb5045831e381261bedbd07f678397e53637e5449f8a601af3d5b0eecdccc

Observation fd1d70dc-5aae-43d4-b7c7-bd2c59aaefd1 · outbound

This paper cites Quelques propriétés des opérateurs angle-bornés et n-cycliquement monotones.Israel Journal of Mathematics, 26(2):137–150, 1977.(Cited on page 19).

What's in a Smoothness Constant? Tighter Rates for Local SGD with Bounded Second-order Heterogeneity Quelques propriétés des opérateurs angle-bornés et n-cycliquement monotones.Israel Journal of Mathematics, 26(2):137–150, 1977.(Cited on page 19)

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-02T01:23:38.120742Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:23:38.120742Z digest=sha256:d70d504f74c66ab0873fc0a425fac954c7f67838fb57e66ac6f4950ec3476dac

Observation 44ab9637-fda4-4941-823d-fa4eef0d28cc · outbound

This paper cites The Baillon-Haddad Theorem Revisited.

What's in a Smoothness Constant? Tighter Rates for Local SGD with Bounded Second-order Heterogeneity The Baillon-Haddad Theorem Revisited

Reference 73

Resolution
unresolved
no resolver link, observed 2026-08-02T01:23:38.229914Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:23:38.229914Z digest=sha256:48cf29e7e29bc915d947bd765b04b23c3a9c3da412ed38c1f24e5be89ea84e64

Pith citing papers

No inbound Pith citation observations are available.