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Paper Citation Record · LEDGER

Effective Method with Compression for Distributed and Federated Cocoercive Variational Inequalities

As of 12 August 2026, this Paper Citation Record lists 76 of 76 outbound references and 0 inbound Pith citation observations for arXiv:2412.14935.

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

pith.paper-citation-record.v1
2412.14935 v1

Coverage vector

measured 76 of 76 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T11:54:16.918879Z

measured 76 of 76 standing notices

One-hop event checks from named stored sources.

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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

76 of 76 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7f92496a-2d31-4c0c-ae19-29bde270fda5 · outbound

This paper cites Stochastic Variance Reduction for Variational Inequality Methods.

Effective Method with Compression for Distributed and Federated Cocoercive Variational Inequalities Stochastic Variance Reduction for Variational Inequality Methods

Reference 1

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Observation a6da58fd-c572-4536-b847-5180f90704fc · outbound

This paper cites Forward-reflected-backward method with variance reduction.

Effective Method with Compression for Distributed and Federated Cocoercive Variational Inequalities Forward-reflected-backward method with variance reduction

Reference 2

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Observation 895b51c7-7a0c-4cc2-920e-5a10fe9078c0 · outbound

This paper cites Qsgd: Communication-efficient sgd via gradient quantization and encoding.

Effective Method with Compression for Distributed and Federated Cocoercive Variational Inequalities Qsgd: Communication-efficient sgd via gradient quantization and encoding

Reference 3

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Observation 7f204527-5133-41d5-9ac0-ccd0c5163d49 · outbound

This paper cites Convex Sparse Matrix Factorizations.

Effective Method with Compression for Distributed and Federated Cocoercive Variational Inequalities Convex Sparse Matrix Factorizations

Reference 4

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Observation 6dc6141d-b0ae-425c-96fb-8898302a0dd2 · outbound

This paper cites Robust optimization, volume 28.

Effective Method with Compression for Distributed and Federated Cocoercive Variational Inequalities Robust optimization, volume 28

Reference 5

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Observation c306f20b-f546-424b-8fef-ead86397cd03 · outbound

This paper cites A Unified Analysis of Variational Inequality Methods: Variance Reduction, Sampling, Quantization and Coordinate Descent.

Effective Method with Compression for Distributed and Federated Cocoercive Variational Inequalities A Unified Analysis of Variational Inequality Methods: Variance Reduction, Sampling, Quantization and Coordinate Descent

Reference 6

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Observation 607a093d-467e-4d81-918b-7b23c7d78693 · outbound

This paper cites Compression and data similarity: Combination of two techniques for communication-efficient solving of distributed variational inequalities.

Effective Method with Compression for Distributed and Federated Cocoercive Variational Inequalities Compression and data similarity: Combination of two techniques for communication-efficient solving of distributed variational inequalities

Reference 7

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Observation f8def644-8f42-4b33-bd6f-29abef6fe97c · outbound

This paper cites Sarah-based variance-reduced algorithm for stochastic finite-sum cocoercive variational inequalities.

Effective Method with Compression for Distributed and Federated Cocoercive Variational Inequalities Sarah-based variance-reduced algorithm for stochastic finite-sum cocoercive variational inequalities

Reference 8

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Observation 8947be5c-be8a-4f03-9b48-8465922d2d29 · outbound

This paper cites Random-reshuffled sarah does not need full gradient computations.

Effective Method with Compression for Distributed and Federated Cocoercive Variational Inequalities Random-reshuffled sarah does not need full gradient computations

Reference 9

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Observation 0fe88037-d193-4fa9-90da-0dcee593dfd7 · outbound

This paper cites Distributed Saddle-Point Problems: Lower Bounds, Near-Optimal and Robust Algorithms.

Effective Method with Compression for Distributed and Federated Cocoercive Variational Inequalities Distributed Saddle-Point Problems: Lower Bounds, Near-Optimal and Robust Algorithms

Reference 10

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Observation 5c54d83d-a876-411e-9fb7-26a0853c4320 · outbound

This paper cites Distributed saddle-point problems under data similarity.

Effective Method with Compression for Distributed and Federated Cocoercive Variational Inequalities Distributed saddle-point problems under data similarity

Reference 11

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Observation df5de115-6c4e-4263-804f-0bfaf4933215 · outbound

This paper cites Decentralized local stochastic extra-gradient for variational inequalities.

Effective Method with Compression for Distributed and Federated Cocoercive Variational Inequalities Decentralized local stochastic extra-gradient for variational inequalities

Reference 12

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Source-reported events for the cited work

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Observation e2fa1b29-2173-45f3-b3ff-f9c149dba42e · outbound

This paper cites Distributed methods with compressed communication for solving variational inequalities, with theoretical guarantees.

Effective Method with Compression for Distributed and Federated Cocoercive Variational Inequalities Distributed methods with compressed communication for solving variational inequalities, with theoretical guarantees

Reference 13

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Observation a06a35ad-ad6f-4e76-8c9d-919791abfbf1 · outbound

This paper cites Stochastic gradient descent-ascent: Unified theory and new efficient methods.

Effective Method with Compression for Distributed and Federated Cocoercive Variational Inequalities Stochastic gradient descent-ascent: Unified theory and new efficient methods

Reference 14

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Observation e59d0376-708a-4bb8-9c91-5762dd5ced02 · outbound

This paper cites On biased compression for distributed learning.

Effective Method with Compression for Distributed and Federated Cocoercive Variational Inequalities On biased compression for distributed learning

Reference 15

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Observation 7a1339f9-0713-46d7-9787-992268c9f6e2 · outbound

This paper cites Smooth monotone stochastic variational inequalities and saddle point problems: A survey.

Effective Method with Compression for Distributed and Federated Cocoercive Variational Inequalities Smooth monotone stochastic variational inequalities and saddle point problems: A survey

Reference 16

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Observation 8218fccd-25da-44a5-950c-ded2529fc43f · outbound

This paper cites First order methods with markovian noise: from acceleration to variational inequalities.

Effective Method with Compression for Distributed and Federated Cocoercive Variational Inequalities First order methods with markovian noise: from acceleration to variational inequalities

Reference 17

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Observation ad05cf03-ca17-4d60-8ad5-7effd8cc7590 · outbound

This paper cites Similarity, compression and local steps: three pillars of efficient communications for distributed variational inequalities.

Effective Method with Compression for Distributed and Federated Cocoercive Variational Inequalities Similarity, compression and local steps: three pillars of efficient communications for distributed variational inequalities

Reference 18

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Observation 5364bb95-074a-4ea8-a333-e2ae6a56c188 · outbound

This paper cites Nonexpansive nonlinear operators in a banach space.

Effective Method with Compression for Distributed and Federated Cocoercive Variational Inequalities Nonexpansive nonlinear operators in a banach space

Reference 19

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Observation 0af627ad-5a4e-4d42-8acb-20491498777f · outbound

This paper cites A first-order primal-dual algorithm for convex problems with applications to imaging.

Effective Method with Compression for Distributed and Federated Cocoercive Variational Inequalities A first-order primal-dual algorithm for convex problems with applications to imaging

Reference 20

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Observation a35d84a9-54b4-4b3c-9798-d831d70842a3 · outbound

This paper cites Reducing noise in gan training with variance reduced extragradient.

Effective Method with Compression for Distributed and Federated Cocoercive Variational Inequalities Reducing noise in gan training with variance reduced extragradient

Reference 21

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This paper cites Faster stochastic algorithms for minimax optimization under polyak- \ L \ ojasiewicz condition.

Effective Method with Compression for Distributed and Federated Cocoercive Variational Inequalities Faster stochastic algorithms for minimax optimization under polyak- \ L \ ojasiewicz condition

Reference 22

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This paper cites Faster non-convex federated learning via global and local momentum.

Effective Method with Compression for Distributed and Federated Cocoercive Variational Inequalities Faster non-convex federated learning via global and local momentum

Reference 23

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Effective Method with Compression for Distributed and Federated Cocoercive Variational Inequalities Saga: A fast incremental gradient method with support for non-strongly convex composite objectives

Reference 24

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This paper cites Local stochastic gradient descent ascent: Convergence analysis and communication efficiency.

Effective Method with Compression for Distributed and Federated Cocoercive Variational Inequalities Local stochastic gradient descent ascent: Convergence analysis and communication efficiency

Reference 25

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Effective Method with Compression for Distributed and Federated Cocoercive Variational Inequalities A general framework for a class of first order primal-dual algorithms for convex optimization in imaging science

Reference 26

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Source-reported events for the cited work

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Effective Method with Compression for Distributed and Federated Cocoercive Variational Inequalities Finite-dimensional variational inequalities and complementarity problems

Reference 27

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Source-reported events for the cited work

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This paper cites A Variational Inequality Perspective on Generative Adversarial Networks.

Effective Method with Compression for Distributed and Federated Cocoercive Variational Inequalities A Variational Inequality Perspective on Generative Adversarial Networks

Reference 28

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Effective Method with Compression for Distributed and Federated Cocoercive Variational Inequalities Generative adversarial networks

Reference 29

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This paper cites Distributed and Stochastic Optimization Methods with Gradient Compression and Local Steps.

Effective Method with Compression for Distributed and Federated Cocoercive Variational Inequalities Distributed and Stochastic Optimization Methods with Gradient Compression and Local Steps

Reference 30

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This paper cites A unified theory of sgd: Variance reduction, sampling, quantization and coordinate descent.

Effective Method with Compression for Distributed and Federated Cocoercive Variational Inequalities A unified theory of sgd: Variance reduction, sampling, quantization and coordinate descent

Reference 31

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verified fuzzy
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Source-reported events for the cited work

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Effective Method with Compression for Distributed and Federated Cocoercive Variational Inequalities Marina: Faster non-convex distributed learning with compression

Reference 32

Resolution
verified fuzzy
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Source-reported events for the cited work

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This paper cites Stochastic extragradient: General analysis and improved rates.

Effective Method with Compression for Distributed and Federated Cocoercive Variational Inequalities Stochastic extragradient: General analysis and improved rates

Reference 33

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verified fuzzy
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Source-reported events for the cited work

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Observation 18f4af18-4af5-47d2-bcc0-ec21682d5740 · outbound

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

Effective Method with Compression for Distributed and Federated Cocoercive Variational Inequalities Federated learning with compression: Unified analysis and sharp guarantees

Reference 34

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 912f3274-0d85-4141-a588-bc29282f3eac · outbound

This paper cites Natural compression for distributed deep learning.

Effective Method with Compression for Distributed and Federated Cocoercive Variational Inequalities Natural compression for distributed deep learning

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:54:17.515795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T11:54:16.761663Z digest=sha256:8eaa9944de4399fb8680bfad2d69e5ccdc1af1086e425c7d2f8568959fef49a2

Observation 9f195d0f-9912-4793-b8b7-bdbba49c24c1 · outbound

This paper cites On the convergence of single-call stochastic extra-gradient methods.

Effective Method with Compression for Distributed and Federated Cocoercive Variational Inequalities On the convergence of single-call stochastic extra-gradient methods

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:54:17.504287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T11:54:16.765298Z digest=sha256:df56d67021289e8c44af3b151ae08d77680ed30f2f203a0b2ea8697eac165c66

Observation b5da249f-a2ec-41c1-9a3e-9235e11fd6a4 · outbound

This paper cites Explore aggressively, update conservatively: Stochastic extragradient methods with variable stepsize scaling.

Effective Method with Compression for Distributed and Federated Cocoercive Variational Inequalities Explore aggressively, update conservatively: Stochastic extragradient methods with variable stepsize scaling

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:54:17.491873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T11:54:16.768675Z digest=sha256:5daaf7e475d69577eee5652de2fd998921337bcc8bbb713cfd5e3c6b37a04018

Observation ef23960a-0221-440f-bc33-f748e50a805a · outbound

This paper cites Quantization and training of neural networks for efficient integer-arithmetic-only inference.

Effective Method with Compression for Distributed and Federated Cocoercive Variational Inequalities Quantization and training of neural networks for efficient integer-arithmetic-only inference

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:54:17.479141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T11:54:16.772148Z digest=sha256:8c0c2c8c8bc27bab223a3c9b62566c783da46a398032d460c7de025dd72d74e9

Observation a70d5d89-d167-4588-8410-9b158dfcd27b · outbound

This paper cites Accelerating stochastic gradient descent using predictive variance reduction.

Effective Method with Compression for Distributed and Federated Cocoercive Variational Inequalities Accelerating stochastic gradient descent using predictive variance reduction

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-11T11:54:16.775490Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:54:16.775490Z digest=sha256:5f376dc10f7193991ad8ebb3b1dfe9acefbf01d7d6e4f41baa87b99110899f0a

Observation ad93b780-7b3a-4261-bc92-dd5e769a222d · outbound

This paper cites Solving variational inequalities with stochastic mirror-prox algorithm.

Effective Method with Compression for Distributed and Federated Cocoercive Variational Inequalities Solving variational inequalities with stochastic mirror-prox algorithm

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:54:17.459986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T11:54:16.778997Z digest=sha256:3b2b2a19505f64b6529023daa75ae4c4976ce05be58f190e09475945d816e311

Observation da3dbf5f-c2c0-4ca1-8549-413dcdac5b2f · outbound

This paper cites Advances and open problems in federated learning.

Effective Method with Compression for Distributed and Federated Cocoercive Variational Inequalities Advances and open problems in federated learning

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-11T11:54:16.782555Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:54:16.782555Z digest=sha256:8afa5b57bd3ed109aa6e1b9513c0642ed8d76cb3ae9f8cefa3dbdc6117bc4353

Observation 59bdfb30-e792-45dc-be1e-3792288db391 · outbound

This paper cites Federated Optimization: Distributed Machine Learning for On-Device Intelligence.

Effective Method with Compression for Distributed and Federated Cocoercive Variational Inequalities Federated Optimization: Distributed Machine Learning for On-Device Intelligence

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-11T11:54:16.786227Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:54:16.786227Z digest=sha256:8bd438ca8206b71502a5937d2dbc3e2ac61ff3af70387e1bb4e7ff3e0d81c672

Observation 0256bcb8-3181-4700-beb5-e9941389d854 · outbound

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

Effective Method with Compression for Distributed and Federated Cocoercive Variational Inequalities Optimal gradient sliding and its application to optimal distributed optimization under similarity

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:54:17.439664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T11:54:16.790866Z digest=sha256:7d6c25df695a61a8e45c3fb16c308d014748a660d1e7282cc9cf680b322c13a2

Observation a65d61b7-f92d-4014-89b6-3e47716fd6d5 · outbound

This paper cites Optimal algorithms for decentralized stochastic variational inequalities.

Effective Method with Compression for Distributed and Federated Cocoercive Variational Inequalities Optimal algorithms for decentralized stochastic variational inequalities

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:54:17.425784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T11:54:16.794741Z digest=sha256:732167dda870dfb48aa9cb198d2126dd6d496364e6137b5120b4aaaaafaf9fec

Observation 4b691c15-f7ca-4f78-af60-de4186ed5269 · outbound

This paper cites Quantizing deep convolutional networks for efficient inference: A whitepaper.

Effective Method with Compression for Distributed and Federated Cocoercive Variational Inequalities Quantizing deep convolutional networks for efficient inference: A whitepaper

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-11T11:54:16.798335Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:54:16.798335Z digest=sha256:1ecbe6f833c0bc3921248fdf68cd53282663340843e8e9e5f84b69604eb7dab9

Observation f43e8591-c7f7-4f97-9a82-496324945e56 · outbound

This paper cites Deep learning.

Effective Method with Compression for Distributed and Federated Cocoercive Variational Inequalities Deep learning

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-11T11:54:16.802667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:54:16.802667Z digest=sha256:4559b5bbc0dccecad2f020447a56c58e781dc8fe8b82b3b071249d4bac00be49

Observation 11a30201-9835-428f-8a81-13962817e53c · outbound

This paper cites Federated learning: Challenges, methods, and future directions.

Effective Method with Compression for Distributed and Federated Cocoercive Variational Inequalities Federated learning: Challenges, methods, and future directions

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-11T11:54:16.806554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:54:16.806554Z digest=sha256:5ee84deb2cb5d021e5b5e6d94f4725c0d76b517f9348d8dc09324ed3c6b31d62

Observation 4000d0da-547a-4be5-9dca-b768ed16832e · outbound

This paper cites A decentralized parallel algorithm for training generative adversarial nets.

Effective Method with Compression for Distributed and Federated Cocoercive Variational Inequalities A decentralized parallel algorithm for training generative adversarial nets

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:54:17.399139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T11:54:16.810148Z digest=sha256:d5a8a8966cb8371e8d843449963522d01f8f85a0a5a06917ec2fd7afe293ff9e

Observation cbb65514-fefd-4961-bd95-95dc37251f95 · outbound

This paper cites A Decentralized Proximal Point-type Method for Saddle Point Problems.

Effective Method with Compression for Distributed and Federated Cocoercive Variational Inequalities A Decentralized Proximal Point-type Method for Saddle Point Problems

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-11T11:54:16.813726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:54:16.813726Z digest=sha256:3b938ebd042e744595f528f65fd8cb71dd2b558c298afda851ab4fa65f44bdf7

Observation 6d15d8df-bf23-4c40-a263-9d67bee6ac6b · outbound

This paper cites Adversarial Training for Large Neural Language Models.

Effective Method with Compression for Distributed and Federated Cocoercive Variational Inequalities Adversarial Training for Large Neural Language Models

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-11T11:54:16.817687Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:54:16.817687Z digest=sha256:1a9f57fcd79c2e6f18c3bdd972719b9f724313359859ed6ca3c46d109b9a4d9f

Observation adafc219-4a81-43ec-aab6-84216e8ba500 · outbound

This paper cites Stochastic gradient descent-ascent and consensus optimization for smooth games: Convergence analysis under expected co-coercivity.

Effective Method with Compression for Distributed and Federated Cocoercive Variational Inequalities Stochastic gradient descent-ascent and consensus optimization for smooth games: Convergence analysis under expected co-coercivity

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:54:17.386070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T11:54:16.821919Z digest=sha256:376b11d2c8771ac78f445cfc71be85c0d74d544aaa810546b68d0cad4fb88f72

Observation a1a518f1-1332-4d62-9c3e-3116261cb24d · outbound

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

Effective Method with Compression for Distributed and Federated Cocoercive Variational Inequalities Communication-efficient learning of deep networks from decentralized data

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-11T11:54:16.825589Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:54:16.825589Z digest=sha256:9a2da40ce2058f7b2285a2ffb0464c2699bde07ed091f175845d38057216df22

Observation a9560bfb-091e-4643-a14c-e0f02831236c · outbound

This paper cites Shuffling heuristic in variational inequalities: Establishing new convergence guarantees.

Effective Method with Compression for Distributed and Federated Cocoercive Variational Inequalities Shuffling heuristic in variational inequalities: Establishing new convergence guarantees

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:54:17.366048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T11:54:16.829112Z digest=sha256:06a27ea2b7b22a6026584bef10d77750f51d0f1a4a62d3c5fc31fbfbbb64e69e

Observation 74c162f9-e8bc-44c9-8f09-e6182b813cbc · outbound

This paper cites Optimal data splitting in distributed optimization for machine learning.

Effective Method with Compression for Distributed and Federated Cocoercive Variational Inequalities Optimal data splitting in distributed optimization for machine learning

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:54:17.354182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T11:54:16.832938Z digest=sha256:4570fb8069fc0d1337b730037f91eda8efd854742ac8561c6fdb43f3d18ae84d

Observation e9f1fde8-1b53-44ba-8778-4f72396bb649 · outbound

This paper cites Revisiting stochastic extragradient.

Effective Method with Compression for Distributed and Federated Cocoercive Variational Inequalities Revisiting stochastic extragradient

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:54:17.342380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T11:54:16.836832Z digest=sha256:63ba4654a7298aad9a1fd72c298c08d3fe04f4cbc286cc94871d9e6301c7f13e

Observation e99a5e71-3741-4b06-b8ff-42d6962ffb77 · outbound

This paper cites Distributed learning with compressed gradient differences.

Effective Method with Compression for Distributed and Federated Cocoercive Variational Inequalities Distributed learning with compressed gradient differences

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:54:17.330109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T11:54:16.840231Z digest=sha256:96300af8d98e7c70bc2315d227223277bec4de8d0a542a9fce21918ed550d4ec

Observation c36b1679-96aa-4254-98fc-a512a8bb5df2 · outbound

This paper cites Non-asymptotic analysis of stochastic approximation algorithms for machine learning.

Effective Method with Compression for Distributed and Federated Cocoercive Variational Inequalities Non-asymptotic analysis of stochastic approximation algorithms for machine learning

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-11T11:54:16.845005Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:54:16.845005Z digest=sha256:aebe9d1789688b357d5cd1525ee568bacf4db115275475893d4d3b63ecf63502

Observation 2533010a-e013-44cf-a0eb-7ee480f5206c · outbound

This paper cites Efficiency of coordinate descent methods on huge-scale optimization problems.

Effective Method with Compression for Distributed and Federated Cocoercive Variational Inequalities Efficiency of coordinate descent methods on huge-scale optimization problems

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:54:17.310708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T11:54:16.848586Z digest=sha256:1820ace3172527b409de65a0fa3f3945752c19b8b38739f2db133dd5d1ad2ed8

Observation 74bb53d4-db08-428b-b3fc-6e72095250b0 · outbound

This paper cites Sarah: A novel method for machine learning problems using stochastic recursive gradient.

Effective Method with Compression for Distributed and Federated Cocoercive Variational Inequalities Sarah: A novel method for machine learning problems using stochastic recursive gradient

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:54:17.299280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T11:54:16.853197Z digest=sha256:f796dc6c78184aa0f9e7d7459f5778700ad98162e21e1b31008d4dc44bcf2cc6

Observation ebd3e4a3-a50a-44a5-bd05-d3f6942e3938 · outbound

This paper cites Stochastic variance reduction methods for saddle-point problems.

Effective Method with Compression for Distributed and Federated Cocoercive Variational Inequalities Stochastic variance reduction methods for saddle-point problems

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:54:17.287938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T11:54:16.857078Z digest=sha256:cae64b3be9ecc58443e4bb6e158edba984503554f577f896cd41cb569e72307a

Observation 40ed29c6-b007-40cb-b5b1-af7db7d63d42 · outbound

This paper cites Optimal analysis of method with batching for monotone stochastic finite-sum variational inequalities.

Effective Method with Compression for Distributed and Federated Cocoercive Variational Inequalities Optimal analysis of method with batching for monotone stochastic finite-sum variational inequalities

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:54:17.276614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T11:54:16.861169Z digest=sha256:3c29436fe535a17a8752e3a48668d9d93d7955a2165de3aa1315f21163422eb3

Observation 7f5d352d-de27-471e-acef-c25007b02636 · outbound

This paper cites Method with batching for stochastic finite-sum variational inequalities in non-euclidean setting.

Effective Method with Compression for Distributed and Federated Cocoercive Variational Inequalities Method with batching for stochastic finite-sum variational inequalities in non-euclidean setting

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:54:17.265257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T11:54:16.864750Z digest=sha256:1221ddd862def3598b884ccf40915138a2972f4fedb0e45c3fdb5fd96eec1cd3

Observation be02c253-fbb0-4473-8bc9-ec33ef575764 · outbound

This paper cites Distributed coordinate descent method for learning with big data.

Effective Method with Compression for Distributed and Federated Cocoercive Variational Inequalities Distributed coordinate descent method for learning with big data

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:54:17.250567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T11:54:16.868301Z digest=sha256:73d7e7cbb4adf303748c28ad123c45e7e53bec153d6e3e7f6acb51967f3f1431

Observation 166dd165-fb4f-442a-9d66-2255ec7394ef · outbound

This paper cites A stochastic approximation method.

Effective Method with Compression for Distributed and Federated Cocoercive Variational Inequalities A stochastic approximation method

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-11T11:54:16.872660Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:54:16.872660Z digest=sha256:535ba566b95a98346126765f17a4b0c1978ea9c6be1db26f158be03ae8678493

Observation 7e153233-4120-4b18-ad26-550ca2efcff9 · outbound

This paper cites A stochastic gradient method with an exponential convergence \_rate for finite training sets.

Effective Method with Compression for Distributed and Federated Cocoercive Variational Inequalities A stochastic gradient method with an exponential convergence \_rate for finite training sets

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:54:17.230981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T11:54:16.876145Z digest=sha256:2af7c0a2aa62be834ec6a298c4c9a7e120ffbed802104df000dfdd008abb276f

Observation 7ae3e7cc-0bc3-4860-b99d-6d61f51826f4 · outbound

This paper cites Federated multi-task learning.

Effective Method with Compression for Distributed and Federated Cocoercive Variational Inequalities Federated multi-task learning

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-11T11:54:16.879729Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:54:16.879729Z digest=sha256:034566287f3c9525f604839aee0ab01d08ad7845f1b95b3835473bcc6cd16db9

Observation bca8d229-31be-4836-99e5-b027d40870c5 · outbound

This paper cites Methods for optimization problems with markovian stochasticity and non-euclidean geometry.

Effective Method with Compression for Distributed and Federated Cocoercive Variational Inequalities Methods for optimization problems with markovian stochasticity and non-euclidean geometry

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-11T11:54:16.883639Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:54:16.883639Z digest=sha256:b44771a43065eb744e5948ea585d6f024b32263c16d24c4613053d96201d8308

Observation 3ec56b3f-3d5b-45de-8178-6c720a004dae · outbound

This paper cites Distributed mean estimation with limited communication.

Effective Method with Compression for Distributed and Federated Cocoercive Variational Inequalities Distributed mean estimation with limited communication

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:54:17.211319Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T11:54:16.887309Z digest=sha256:192d489cf2e0057dfecf715ba198edd1fac6b17487192dbebc501e669ac820fe

Observation 4c5d23f2-0c33-4711-80dc-e037ae65cbce · outbound

This paper cites Decentralized min-max optimization: Formulations, algorithms and applications in network poisoning attack.

Effective Method with Compression for Distributed and Federated Cocoercive Variational Inequalities Decentralized min-max optimization: Formulations, algorithms and applications in network poisoning attack

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:54:17.196477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T11:54:16.890806Z digest=sha256:ae10cc54d31365c0ab3588aa894182c9c4b35b18dd9eab4b0f8eb39d4a14d867

Observation 871fa197-81b6-40cc-b667-a8fc5f070e99 · outbound

This paper cites A survey on distributed machine learning.

Effective Method with Compression for Distributed and Federated Cocoercive Variational Inequalities A survey on distributed machine learning

Reference 70

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unresolved
no resolver link, observed 2026-08-11T11:54:16.895303Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:54:16.895303Z digest=sha256:a2cf12cf9414fa00e1fb7cb26317a506daf363f2f4c7dd0e6a3b8a7da9257710

Observation 2458d15f-7a0b-4d1c-b24b-d8b0706a5d4e · outbound

This paper cites Theory of games and economic behavior: by J.

Effective Method with Compression for Distributed and Federated Cocoercive Variational Inequalities Theory of games and economic behavior: by J

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:54:17.178650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T11:54:16.898904Z digest=sha256:88185c6fc4dd004d7a4335c21764a8b7b9b3c518c0d2c8c6ef18a6600e1559ff

Observation 49b1ff35-e49e-46ab-944b-62d4365141ed · outbound

This paper cites Gradient sparsification for communication-efficient distributed optimization.

Effective Method with Compression for Distributed and Federated Cocoercive Variational Inequalities Gradient sparsification for communication-efficient distributed optimization

Reference 72

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source=arxiv_source observed=2026-08-11T11:54:16.902396Z digest=sha256:842b1a1d37acb4fb3ec77ca55bbcdc000319e7d37d19f317251beda7b1efcc63

Observation 0833b147-060c-4bff-8685-11f79e3e165e · outbound

This paper cites Terngrad: Ternary gradients to reduce communication in distributed deep learning.

Effective Method with Compression for Distributed and Federated Cocoercive Variational Inequalities Terngrad: Ternary gradients to reduce communication in distributed deep learning

Reference 73

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no resolver link, observed 2026-08-11T11:54:16.905881Z

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source=arxiv_source observed=2026-08-11T11:54:16.905881Z digest=sha256:824b041087f96dea4c58d21f91b1a608f5e45bc51e383d9db3583a23e11764ca

Observation f1bec15a-0db7-4ad8-838c-593d150d5b27 · outbound

This paper cites Integer Quantization for Deep Learning Inference: Principles and Empirical Evaluation.

Effective Method with Compression for Distributed and Federated Cocoercive Variational Inequalities Integer Quantization for Deep Learning Inference: Principles and Empirical Evaluation

Reference 74

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source=arxiv_source observed=2026-08-11T11:54:16.910077Z digest=sha256:e413a0c3c46138a0addfc79ea8152c88a5caab10ab9d1d7aaa883f66014f8281

Observation d1c610a7-81bd-41b4-be8e-df50c8ffbb82 · outbound

This paper cites Error compensated quantized sgd and its applications to large-scale distributed optimization.

Effective Method with Compression for Distributed and Federated Cocoercive Variational Inequalities Error compensated quantized sgd and its applications to large-scale distributed optimization

Reference 75

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source=arxiv_source observed=2026-08-11T11:54:16.914954Z digest=sha256:b3966cf6dbf206b9c8328d3c2842307682eed73b52b6e5cd386f68be59ce4333

Observation 29125b58-cb45-4780-bdf6-a1685693686b · outbound

This paper cites FreeLB: Enhanced Adversarial Training for Natural Language Understanding.

Effective Method with Compression for Distributed and Federated Cocoercive Variational Inequalities FreeLB: Enhanced Adversarial Training for Natural Language Understanding

Reference 76

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source=arxiv_source observed=2026-08-11T11:54:16.918879Z digest=sha256:5fa9994f353fe6512b8e0253e0fe4c88232beffde4a5659c15df01d6d7baae53

Pith citing papers

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