Effective Method with Compression for Distributed and Federated Cocoercive Variational Inequalities | Paper Citation Record

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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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This paper cites A general framework for a class of first order primal-dual algorithms for convex optimization in imaging science.

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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This paper cites Finite-dimensional variational inequalities and complementarity problems.

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

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

Reference 29

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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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This paper cites Marina: Faster non-convex distributed learning with compression.

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

Reference 33

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

Reference 35

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

Reference 36

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

Reference 37

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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

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

Reference 39

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

Reference 40

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

Reference 41

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

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

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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

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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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This paper cites Deep learning.

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

Reference 46

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

Reference 47

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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

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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

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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

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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

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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

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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

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

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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 2026-08-15T06:32:42.880941+00:00.

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 2026-08-15T06:32:42.880941+00:00.

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 2026-08-15T06:32:42.880941+00:00.

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

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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 2026-08-15T06:32:42.880941+00:00.

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 2026-08-15T06:32:42.880941+00:00.

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 2026-08-15T06:32:42.880941+00:00.

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 2026-08-15T06:32:42.880941+00:00.

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 2026-08-15T06:32:42.880941+00:00.

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 2026-08-15T06:32:42.880941+00:00.

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.

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 2026-08-15T06:32:42.880941+00:00.

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.

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

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Unavailable: canonical work link unavailable.

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 2026-08-15T06:32:42.880941+00:00.

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 2026-08-15T06:32:42.880941+00:00.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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 2026-08-15T06:32:42.880941+00:00.

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

Resolution: unresolved; no resolver link, observed 2026-08-11T11:54:16.902396Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

Source-reported events for the cited work

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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

Resolution: unresolved; no resolver link, observed 2026-08-11T11:54:16.910077Z

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Unavailable: canonical work link unavailable.

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

Resolution: unresolved; no resolver link, observed 2026-08-11T11:54:16.914954Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

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