NESTT: A Nonconvex Primal-Dual Splitting Method for Distributed and Stochastic Optimization

25 May 2016

Papers citing "NESTT: A Nonconvex Primal-Dual Splitting Method for Distributed and Stochastic Optimization"

5 / 5 papers shown

Title
Beyond ADMM: A Unified Client-variance-reduced Adaptive Federated Learning Framework Shuai Wang Yanqing Xu Zihan Wang Tsung-Hui Chang Tony Q.S. Quek Defeng Sun FedML 35 9 0 03 Dec 2022
Distributed Inexact Successive Convex Approximation ADMM: Analysis-Part I Sandeep Kumar K. Rajawat Daniel P. Palomar 32 4 0 21 Jul 2019
On the Global Convergence of Imitation Learning: A Case for Linear Quadratic Regulator Qi Cai Mingyi Hong Yongxin Chen Zhaoran Wang 37 34 0 11 Jan 2019
Zeroth Order Nonconvex Multi-Agent Optimization over Networks Davood Hajinezhad Mingyi Hong Alfredo García 26 79 0 27 Oct 2017
Stochastic Alternating Direction Method of Multipliers with Variance Reduction for Nonconvex Optimization Feihu Huang Songcan Chen Zhaosong Lu 30 14 0 10 Oct 2016