Decentralized Stochastic Gradient Descent Ascent for Finite-Sum Minimax Problems

6 December 2022

Papers citing "Decentralized Stochastic Gradient Descent Ascent for Finite-Sum Minimax Problems"

11 / 11 papers shown

Title
Accelerated Stochastic Min-Max Optimization Based on Bias-corrected Momentum H. Cai Sulaiman A. Alghunaim Ali H.Sayed 41 1 0 18 Jun 2024
Robust Decentralized Learning with Local Updates and Gradient Tracking Sajjad Ghiasvand Amirhossein Reisizadeh Mahnoosh Alizadeh Ramtin Pedarsani 28 3 0 02 May 2024
Diffusion Stochastic Optimization for Min-Max Problems H. Cai Sulaiman A. Alghunaim Ali H. Sayed 19 2 0 26 Jan 2024
Central Limit Theorem for Two-Timescale Stochastic Approximation with Markovian Noise: Theory and Applications Jie Hu Vishwaraj Doshi Do Young Eun 28 4 0 17 Jan 2024
Stability and Generalization of the Decentralized Stochastic Gradient Descent Ascent Algorithm Miaoxi Zhu Li Shen Bo Du Dacheng Tao 13 6 0 31 Oct 2023
Switch and Conquer: Efficient Algorithms By Switching Stochastic Gradient Oracles For Decentralized Saddle Point Problems Chhavi Sharma Vishnu Narayanan P. Balamurugan 16 0 0 02 Sep 2023
Variance-reduced accelerated methods for decentralized stochastic double-regularized nonconvex strongly-concave minimax problems Gabriel Mancino-Ball Yangyang Xu 8 7 0 14 Jul 2023
Can Decentralized Stochastic Minimax Optimization Algorithms Converge Linearly for Finite-Sum Nonconvex-Nonconcave Problems? Yihan Zhang Wenhao Jiang Feng-Song Zheng C. C. Tan Xinghua Shi Hongchang Gao 13 1 0 24 Apr 2023
Near-Optimal Decentralized Momentum Method for Nonconvex-PL Minimax Problems Feihu Huang Songcan Chen 11 5 0 21 Apr 2023
Decentralized gradient descent maximization method for composite nonconvex strongly-concave minimax problems Yangyang Xu 9 9 0 05 Apr 2023
On the Convergence of Distributed Stochastic Bilevel Optimization Algorithms over a Network Hongchang Gao Bin Gu My T. Thai 20 14 0 30 Jun 2022