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1910.14380
Cited By
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
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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
Yura Malitsky
Matthew K. Tam
16
2
0
23 Aug 2023
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
Yangyang Xu
26
9
0
05 Apr 2023
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
Aleksandr Beznosikov
Martin Takáč
Alexander Gasnikov
29
10
0
15 Feb 2023
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
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
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
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
Matteo Zecchin
Marios Kountouris
David Gesbert
22
9
0
31 May 2022
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
Dmitrii Ostrovskii
Babak Barazandeh
Meisam Razaviyayn
18
11
0
08 Oct 2021
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
Aleksandr Beznosikov
G. Scutari
Alexander Rogozin
Alexander Gasnikov
11
15
0
22 Jul 2021
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
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
Babak Barazandeh
Tianjian Huang
George Michailidis
24
12
0
10 Jun 2021
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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