ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2304.02441
  4. Cited By
Decentralized gradient descent maximization method for composite
  nonconvex strongly-concave minimax problems

Decentralized gradient descent maximization method for composite nonconvex strongly-concave minimax problems

5 April 2023
Yangyang Xu
ArXivPDFHTML

Papers citing "Decentralized gradient descent maximization method for composite nonconvex strongly-concave minimax problems"

4 / 4 papers shown
Title
Robust Decentralized Learning with Local Updates and Gradient Tracking
Robust Decentralized Learning with Local Updates and Gradient Tracking
Sajjad Ghiasvand
Amirhossein Reisizadeh
Mahnoosh Alizadeh
Ramtin Pedarsani
28
3
0
02 May 2024
Variance-reduced accelerated methods for decentralized stochastic
  double-regularized nonconvex strongly-concave minimax problems
Variance-reduced accelerated methods for decentralized stochastic double-regularized nonconvex strongly-concave minimax problems
Gabriel Mancino-Ball
Yangyang Xu
13
7
0
14 Jul 2023
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
On the Convergence of Projected Alternating Maximization for Equitable
  and Optimal Transport
On the Convergence of Projected Alternating Maximization for Equitable and Optimal Transport
Minhui Huang
Shiqian Ma
Lifeng Lai
27
3
0
29 Sep 2021
1