Variance-reduced accelerated methods for decentralized stochastic double-regularized nonconvex strongly-concave minimax problems

14 July 2023

Papers citing "Variance-reduced accelerated methods for decentralized stochastic double-regularized nonconvex strongly-concave minimax problems"

5 / 5 papers shown

Title
A stochastic smoothing framework for nonconvex-nonconcave min-sum-max problems with applications to Wasserstein distributionally robust optimization Wei Liu Muhammad Khan Gabriel Mancino-Ball Yangyang Xu 37 0 0 24 Feb 2025
Single-loop Stochastic Algorithms for Difference of Max-Structured Weakly Convex Functions Quanqi Hu Qi Qi Zhaosong Lu Tianbao Yang 22 1 0 28 May 2024
Robust Decentralized Learning with Local Updates and Gradient Tracking Sajjad Ghiasvand Amirhossein Reisizadeh Mahnoosh Alizadeh Ramtin Pedarsani 28 3 0 02 May 2024
An Efficient Stochastic Algorithm for Decentralized Nonconvex-Strongly-Concave Minimax Optimization Le‐Yu Chen Haishan Ye Luo Luo 52 4 0 05 Dec 2022
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima N. Keskar Dheevatsa Mudigere J. Nocedal M. Smelyanskiy P. T. P. Tang ODL 273 2,878 0 15 Sep 2016