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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

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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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Source-reported events for the cited work

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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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Source-reported events for the cited work

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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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Observation 964c2c15-ff74-4da9-a78b-1dcbd0a5939c · outbound

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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Observation 2bb1e422-ae8b-4dcb-8cae-5388cb24de5c · outbound

This paper cites Saga: A fast incremental gradient method with support for non-strongly convex composite objectives.

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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Source-reported events for the cited work

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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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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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Source-reported events for the cited work

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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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verified exact
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Source-reported events for the cited work

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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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Observation e87b2796-27e8-4e65-9b01-1e5114eaacbb · outbound

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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

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verified fuzzy
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Source-reported events for the cited work

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Observation 2e48bb25-edba-47ff-a7fa-139aebc19047 · outbound

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:a944dfd7165be256dad489d1247eb3f7cd730f9451e51c28c55484b0c83263bb

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:c119af6e87b5db13407c34cffb3b2475f8bc46e9e1717a3f85720dda902de2f6

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=sha256:2efd0981f2f63deb3a68d18417e3fb367d5a6c47def18793fabc831df685ed3e

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:ad2b2ff994f26bf651c3a67184b00bfa29da029e4593e2bbdb5e5a181a7cced6

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:cadfac9686d28bb77b2d9a522257215c679e34fa88f81b0ac49d290bf8ad2b73

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=sha256:208d201252dce3f5d28c5cd834c95f46195549778cbf1f90a343fca62feefbb4

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:a4abd9fc55b0b04ab3680417600963d219f28604b2f97ea89bdfa37305faf7c0

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=sha256:85e099e4477f945950644e77c1e19ffbafc1dfb7b2a20ce50a541b1a4b68fe8c

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=sha256:5d232ff5ec0cb8cd59e3b5c9a1bab387d0f43520541cd1440be01b134ed60ce0

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=sha256:71dff6ab9170a018f9f97fb47ae7f6217543aad6f8285a897917293dc4ac7da6

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

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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:b743893a9e1e734f0a5923aa16c98cd9794e9d18b263a7a688491e43f7e78ff9

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=sha256:9756727a7b9622db2c763ac124751fe15bbf585a235e31faf479f9a7164d239a

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=sha256:2f7cabbefa920f2cf409d1716ea64416c30c65d4eff95d796e1f5f1e704e3401

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:e4e44bce467678d99c1a9a7281e029d565cdab5a77299eb1b5840a759aa7d735

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=sha256:28975035c6a9b39fbab39bebaa128dd414ab4c13653ad0c8e832719433489c63

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=sha256:6a522007d322a55fc133b57d119e5a3e0449e09703843b598eaeee7a4328204b

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=sha256:71d15c41450397f2a11de69db6b25ae69df66413fd68c94cac04c60de956e29d

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=sha256:7cfc784d6432660f2db1240b747e3b6502623b792b4314f6ce38f715dee9676b

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:ec1974f260a59392a25885b651e8d6afe6586ef581fe2b816ba6fc34a24383c9

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=sha256:6187b25bc49260d35f3de4a4de6cd5761626d3b000c687ae1913921287d4cf77

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=sha256:1d840fba7aada898a3752c13c149cbbe161acc1087450130e6f477e0dfe9ddf3

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=sha256:2b116cc637421fa179c57f317ee13daac842bca63889467a66ed0249a5b4923b

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=sha256:8617d3e5a7d52956bd833b59fde8d9972dafcedc45904627eeb427963b3168b6

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=sha256:6417e014625503692a4c02239f2d1e41264e63a90184e48e10d912fa98540b8f

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:e4fe572fde8ae234fdc301ec2dc06174b2f67be2e7614946d067e418f15c3802

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:bf7586dd755154957d46d58ebc03f0560c1c9aad3dcf28ac0a04e24e36d574cb

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=sha256:182d38f9258335b7eaa6f673fe21f3baa075ca826ecbeb2847af1a0368931fbf

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=sha256:9b4bb955fac6d3b23f8cf3453e78e67af5254d56a6b5c4b0a3b8582871ab3f88

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=sha256:98b5572077ef72780a711922766c627c72c6c6b1adb04069d10d3bd2209f5fc6

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:a5ce88d6cb37054b3edb86856c0840afbc2e4ea620df2190e61b17e2dd9bf513

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=sha256:0d7c5b83e30f8c2e9e8436ce2e9042bf7abd31bcf946d84082bf78a9ae74e1e1

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

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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=sha256:5d84510ff92f576a787d8dd56ace9ea098398361301b05a958189ec5a8744f07

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:d146991da44439891ba247724818c083bc6c7cd22edd9411c57f9a87968048db

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=sha256:86737dcd24da390a8167a18d1bc2bd46b510df932e2df89c7fb9f89127765e95

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:f7d00e14ed59b2fdd2161812f8466fbe95827611b33a2b9009125a98b4fbd4a1

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:eebeaa479696ce3192d3fe951635ea02ccaa6a1389b9c0502cc2f793db7641a8

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=sha256:56c73befec25bb56daf01b6b3c849cd815a38b12f8f4bcbd470cb31cd0c02332

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=sha256:8b109ca23bc8747f38a10e35ac2a1ff54b576c8258e0d4c99f4fc31c81f580d3

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=sha256:81cd32cb916571eaaf9a58138995af01bd8705be969f7c2f0f808428e4f912fa

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=sha256:79b322a39b67a9448be419c5efc0a31f95ee617ac890fa72188861e025ec3413

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=sha256:7937dbb881a6b6670102cd3220959117c5a74e546e9138096e41fb98eb333d07

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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no resolver link, observed 2026-08-11T11:54:16.918879Z

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source=arxiv_source observed=2026-08-11T11:54:16.918879Z digest=sha256:c3cef5c8a095b741c8ed386aef98fd6bcb7f11432ec9cec968b8d8e148abc59c

Pith citing papers

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