A Hybrid Variance-Reduced Method for Decentralized Stochastic Non-Convex Optimization

12 February 2021

Papers citing "A Hybrid Variance-Reduced Method for Decentralized Stochastic Non-Convex Optimization"

6 / 6 papers shown

Title
Decentralized Gradient-Free Methods for Stochastic Non-Smooth Non-Convex Optimization Zhenwei Lin Jingfan Xia Qi Deng Luo Luo 31 3 0 18 Oct 2023
Variance-reduced accelerated methods for decentralized stochastic double-regularized nonconvex strongly-concave minimax problems Gabriel Mancino-Ball Yangyang Xu 20 8 0 14 Jul 2023
Distributed Random Reshuffling Methods with Improved Convergence Kun-Yen Huang Linli Zhou Shi Pu 24 4 0 21 Jun 2023
Variance-Reduced Stochastic Quasi-Newton Methods for Decentralized Learning: Part I Jiaojiao Zhang Huikang Liu Anthony Man-Cho So Qing Ling 24 14 0 19 Jan 2022
A Unified and Refined Convergence Analysis for Non-Convex Decentralized Learning Sulaiman A. Alghunaim Kun Yuan 40 57 0 19 Oct 2021
Optimal Complexity in Decentralized Training Yucheng Lu Christopher De Sa 38 72 0 15 Jun 2020