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Similarity, Compression and Local Steps: Three Pillars of Efficient
  Communications for Distributed Variational Inequalities

Similarity, Compression and Local Steps: Three Pillars of Efficient Communications for Distributed Variational Inequalities

15 February 2023
Aleksandr Beznosikov
Martin Takáč
Alexander Gasnikov
ArXivPDFHTML

Papers citing "Similarity, Compression and Local Steps: Three Pillars of Efficient Communications for Distributed Variational Inequalities"

11 / 11 papers shown
Title
Accelerated Methods with Compressed Communications for Distributed
  Optimization Problems under Data Similarity
Accelerated Methods with Compressed Communications for Distributed Optimization Problems under Data Similarity
Dmitry Bylinkin
Aleksandr Beznosikov
72
1
0
21 Dec 2024
Accelerated Stochastic ExtraGradient: Mixing Hessian and Gradient
  Similarity to Reduce Communication in Distributed and Federated Learning
Accelerated Stochastic ExtraGradient: Mixing Hessian and Gradient Similarity to Reduce Communication in Distributed and Federated Learning
Dmitry Bylinkin
Kirill Degtyarev
Aleksandr Beznosikov
FedML
34
0
0
22 Sep 2024
Stabilized Proximal-Point Methods for Federated Optimization
Stabilized Proximal-Point Methods for Federated Optimization
Xiaowen Jiang
Anton Rodomanov
Sebastian U. Stich
FedML
44
1
0
09 Jul 2024
Near-Optimal Distributed Minimax Optimization under the Second-Order
  Similarity
Near-Optimal Distributed Minimax Optimization under the Second-Order Similarity
Qihao Zhou
Haishan Ye
Luo Luo
24
0
0
25 May 2024
Stochastic Distributed Optimization under Average Second-order
  Similarity: Algorithms and Analysis
Stochastic Distributed Optimization under Average Second-order Similarity: Algorithms and Analysis
Dachao Lin
Yuze Han
Haishan Ye
Zhihua Zhang
19
11
0
15 Apr 2023
Optimal Gradient Sliding and its Application to Distributed Optimization
  Under Similarity
Optimal Gradient Sliding and its Application to Distributed Optimization Under Similarity
D. Kovalev
Aleksandr Beznosikov
Ekaterina Borodich
Alexander Gasnikov
G. Scutari
33
12
0
30 May 2022
Optimal Algorithms for Decentralized Stochastic Variational Inequalities
Optimal Algorithms for Decentralized Stochastic Variational Inequalities
D. Kovalev
Aleksandr Beznosikov
Abdurakhmon Sadiev
Michael Persiianov
Peter Richtárik
Alexander Gasnikov
35
34
0
06 Feb 2022
Permutation Compressors for Provably Faster Distributed Nonconvex
  Optimization
Permutation Compressors for Provably Faster Distributed Nonconvex Optimization
Rafal Szlendak
A. Tyurin
Peter Richtárik
122
35
0
07 Oct 2021
On the One-sided Convergence of Adam-type Algorithms in Non-convex
  Non-concave Min-max Optimization
On the One-sided Convergence of Adam-type Algorithms in Non-convex Non-concave Min-max Optimization
Zehao Dou
Yuanzhi Li
28
13
0
29 Sep 2021
Stochastic Variance Reduction for Variational Inequality Methods
Stochastic Variance Reduction for Variational Inequality Methods
Ahmet Alacaoglu
Yura Malitsky
56
68
0
16 Feb 2021
Convex Sparse Matrix Factorizations
Convex Sparse Matrix Factorizations
Francis R. Bach
Julien Mairal
Jean Ponce
137
143
0
10 Dec 2008
1