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Decentralized Local Stochastic Extra-Gradient for Variational
  Inequalities

Decentralized Local Stochastic Extra-Gradient for Variational Inequalities

15 June 2021
Aleksandr Beznosikov
Pavel Dvurechensky
Anastasia Koloskova
V. Samokhin
Sebastian U. Stich
Alexander Gasnikov
ArXivPDFHTML

Papers citing "Decentralized Local Stochastic Extra-Gradient for Variational Inequalities"

11 / 11 papers shown
Title
Diffusion Stochastic Learning Over Adaptive Competing Networks
Diffusion Stochastic Learning Over Adaptive Competing Networks
Yike Zhao
H. Cai
Ali H. Sayed
DiffM
35
0
0
28 Apr 2025
Stability and Generalization of the Decentralized Stochastic Gradient
  Descent Ascent Algorithm
Stability and Generalization of the Decentralized Stochastic Gradient Descent Ascent Algorithm
Miaoxi Zhu
Li Shen
Bo Du
Dacheng Tao
23
6
0
31 Oct 2023
Communication-Efficient Gradient Descent-Accent Methods for Distributed
  Variational Inequalities: Unified Analysis and Local Updates
Communication-Efficient Gradient Descent-Accent Methods for Distributed Variational Inequalities: Unified Analysis and Local Updates
Siqi Zhang
S. Choudhury
Sebastian U. Stich
Nicolas Loizou
FedML
19
3
0
08 Jun 2023
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
Aleksandr Beznosikov
Martin Takáč
Alexander Gasnikov
29
10
0
15 Feb 2023
Decentralized Stochastic Gradient Descent Ascent for Finite-Sum Minimax
  Problems
Decentralized Stochastic Gradient Descent Ascent for Finite-Sum Minimax Problems
Hongchang Gao
24
16
0
06 Dec 2022
Smooth Monotone Stochastic Variational Inequalities and Saddle Point
  Problems: A Survey
Smooth Monotone Stochastic Variational Inequalities and Saddle Point Problems: A Survey
Aleksandr Beznosikov
Boris Polyak
Eduard A. Gorbunov
D. Kovalev
Alexander Gasnikov
42
31
0
29 Aug 2022
Federated Minimax Optimization: Improved Convergence Analyses and
  Algorithms
Federated Minimax Optimization: Improved Convergence Analyses and Algorithms
Pranay Sharma
Rohan Panda
Gauri Joshi
P. Varshney
FedML
21
47
0
09 Mar 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
Extragradient Method: $O(1/K)$ Last-Iterate Convergence for Monotone
  Variational Inequalities and Connections With Cocoercivity
Extragradient Method: O(1/K)O(1/K)O(1/K) Last-Iterate Convergence for Monotone Variational Inequalities and Connections With Cocoercivity
Eduard A. Gorbunov
Nicolas Loizou
Gauthier Gidel
25
64
0
08 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
31
13
0
29 Sep 2021
Solving a class of non-convex min-max games using adaptive momentum
  methods
Solving a class of non-convex min-max games using adaptive momentum methods
Babak Barazandeh
Davoud Ataee Tarzanagh
George Michailidis
31
13
0
26 Apr 2021
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