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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

10 June 2021
Babak Barazandeh
Tianjian Huang
George Michailidis
ArXivPDFHTML

Papers citing "A Decentralized Adaptive Momentum Method for Solving a Class of Min-Max Optimization Problems"

12 / 12 papers shown
Title
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
29
0
0
22 Sep 2024
Nonlinear Perturbation-based Non-Convex Optimization over Time-Varying
  Networks
Nonlinear Perturbation-based Non-Convex Optimization over Time-Varying Networks
Mohammadreza Doostmohammadian
Zulfiya R. Gabidullina
Hamid R. Rabiee
30
7
0
05 Aug 2024
Federated Multi-Sequence Stochastic Approximation with Local
  Hypergradient Estimation
Federated Multi-Sequence Stochastic Approximation with Local Hypergradient Estimation
Davoud Ataee Tarzanagh
Mingchen Li
Pranay Sharma
Samet Oymak
16
0
0
02 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
21
10
0
15 Feb 2023
FedNest: Federated Bilevel, Minimax, and Compositional Optimization
FedNest: Federated Bilevel, Minimax, and Compositional Optimization
Davoud Ataee Tarzanagh
Mingchen Li
Christos Thrampoulidis
Samet Oymak
FedML
31
73
0
04 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
33
34
0
06 Feb 2022
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
13
20
0
07 Oct 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
19
43
0
15 Jun 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
29
13
0
26 Apr 2021
Learning Adversarially Fair and Transferable Representations
Learning Adversarially Fair and Transferable Representations
David Madras
Elliot Creager
T. Pitassi
R. Zemel
FaML
210
663
0
17 Feb 2018
Conditional Image Synthesis With Auxiliary Classifier GANs
Conditional Image Synthesis With Auxiliary Classifier GANs
Augustus Odena
C. Olah
Jonathon Shlens
GAN
224
3,183
0
30 Oct 2016
Frank-Wolfe Algorithms for Saddle Point Problems
Frank-Wolfe Algorithms for Saddle Point Problems
Gauthier Gidel
Tony Jebara
Simon Lacoste-Julien
37
70
0
25 Oct 2016
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