PRECISION: Decentralized Constrained Min-Max Learning with Low Communication and Sample Complexities

5 March 2023

Papers citing "PRECISION: Decentralized Constrained Min-Max Learning with Low Communication and Sample Complexities"

5 / 5 papers shown

Title
Fast Decentralized Gradient Tracking for Federated Minimax Optimization with Local Updates Chris Junchi Li 29 0 0 07 May 2024
Robust Decentralized Learning with Local Updates and Gradient Tracking Sajjad Ghiasvand Amirhossein Reisizadeh Mahnoosh Alizadeh Ramtin Pedarsani 30 3 0 02 May 2024
Solving a Class of Non-Convex Minimax Optimization in Federated Learning Xidong Wu Jianhui Sun Zhengmian Hu Aidong Zhang Heng-Chiao Huang FedML 97 10 0 05 Oct 2023
Variance-reduced accelerated methods for decentralized stochastic double-regularized nonconvex strongly-concave minimax problems Gabriel Mancino-Ball Yangyang Xu 18 8 0 14 Jul 2023
Distributed Stochastic Multi-Task Learning with Graph Regularization Weiran Wang Jialei Wang Mladen Kolar Nathan Srebro FedML 29 21 0 11 Feb 2018