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A Decentralized Proximal Point-type Method for Saddle Point Problems

A Decentralized Proximal Point-type Method for Saddle Point Problems

31 October 2019
Weijie Liu
Aryan Mokhtari
Asuman Ozdaglar
S. Pattathil
Zebang Shen
Nenggan Zheng
ArXivPDFHTML

Papers citing "A Decentralized Proximal Point-type Method for Saddle Point Problems"

18 / 18 papers shown
Title
A First-Order Algorithm for Decentralised Min-Max Problems
A First-Order Algorithm for Decentralised Min-Max Problems
Yura Malitsky
Matthew K. Tam
16
2
0
23 Aug 2023
Federated Composite Saddle Point Optimization
Federated Composite Saddle Point Optimization
Site Bai
Brian Bullins
FedML
32
0
0
25 May 2023
Decentralized gradient descent maximization method for composite
  nonconvex strongly-concave minimax problems
Decentralized gradient descent maximization method for composite nonconvex strongly-concave minimax problems
Yangyang Xu
26
9
0
05 Apr 2023
PRECISION: Decentralized Constrained Min-Max Learning with Low
  Communication and Sample Complexities
PRECISION: Decentralized Constrained Min-Max Learning with Low Communication and Sample Complexities
Zhuqing Liu
Xin Zhang
Songtao Lu
Jia-Wei Liu
34
7
0
05 Mar 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
Federated Minimax Optimization with Client Heterogeneity
Federated Minimax Optimization with Client Heterogeneity
Pranay Sharma
Rohan Panda
Gauri Joshi
FedML
35
9
0
08 Feb 2023
DIAMOND: Taming Sample and Communication Complexities in Decentralized
  Bilevel Optimization
DIAMOND: Taming Sample and Communication Complexities in Decentralized Bilevel Optimization
Pei-Yuan Qiu
Yining Li
Zhuqing Liu
Prashant Khanduri
Jia Liu
Ness B. Shroff
Elizabeth S. Bentley
K. Turck
16
4
0
05 Dec 2022
INTERACT: Achieving Low Sample and Communication Complexities in
  Decentralized Bilevel Learning over Networks
INTERACT: Achieving Low Sample and Communication Complexities in Decentralized Bilevel Learning over Networks
Zhuqing Liu
Xin Zhang
Prashant Khanduri
Songtao Lu
Jia Liu
29
11
0
27 Jul 2022
Distributed Adversarial Training to Robustify Deep Neural Networks at
  Scale
Distributed Adversarial Training to Robustify Deep Neural Networks at Scale
Gaoyuan Zhang
Songtao Lu
Yihua Zhang
Xiangyi Chen
Pin-Yu Chen
Quanfu Fan
Lee Martie
L. Horesh
Min-Fong Hong
Sijia Liu
OOD
24
12
0
13 Jun 2022
Communication-Efficient Distributionally Robust Decentralized Learning
Communication-Efficient Distributionally Robust Decentralized Learning
Matteo Zecchin
Marios Kountouris
David Gesbert
22
9
0
31 May 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
Nonconvex-Nonconcave Min-Max Optimization with a Small Maximization
  Domain
Nonconvex-Nonconcave Min-Max Optimization with a Small Maximization Domain
Dmitrii Ostrovskii
Babak Barazandeh
Meisam Razaviyayn
18
11
0
08 Oct 2021
Distributed Methods with Compressed Communication for Solving
  Variational Inequalities, with Theoretical Guarantees
Distributed Methods with Compressed Communication for Solving Variational Inequalities, with Theoretical Guarantees
Aleksandr Beznosikov
Peter Richtárik
Michael Diskin
Max Ryabinin
Alexander Gasnikov
FedML
20
20
0
07 Oct 2021
Distributed Saddle-Point Problems Under Similarity
Distributed Saddle-Point Problems Under Similarity
Aleksandr Beznosikov
G. Scutari
Alexander Rogozin
Alexander Gasnikov
11
15
0
22 Jul 2021
Decentralized Local Stochastic Extra-Gradient for Variational
  Inequalities
Decentralized Local Stochastic Extra-Gradient for Variational Inequalities
Aleksandr Beznosikov
Pavel Dvurechensky
Anastasia Koloskova
V. Samokhin
Sebastian U. Stich
Alexander Gasnikov
32
43
0
15 Jun 2021
Decentralized Personalized Federated Learning for Min-Max Problems
Decentralized Personalized Federated Learning for Min-Max Problems
Ekaterina Borodich
Aleksandr Beznosikov
Abdurakhmon Sadiev
V. Sushko
Nikolay Savelyev
Martin Takávc
Alexander Gasnikov
FedML
16
4
0
14 Jun 2021
A Decentralized Adaptive Momentum Method for Solving a Class of Min-Max
  Optimization Problems
A Decentralized Adaptive Momentum Method for Solving a Class of Min-Max Optimization Problems
Babak Barazandeh
Tianjian Huang
George Michailidis
24
12
0
10 Jun 2021
Decentralized Distributed Optimization for Saddle Point Problems
Decentralized Distributed Optimization for Saddle Point Problems
Alexander Rogozin
Alexander Beznosikov
D. Dvinskikh
D. Kovalev
Pavel Dvurechensky
Alexander Gasnikov
28
27
0
15 Feb 2021
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