1 citations · 1 across the 2 of their papers we have counts for
2 papers
math.OC2024
A Unified Inexact Stochastic ADMM for Composite Nonconvex and Nonsmooth Optimization
Yuxuan Zeng, Jianchao Bai, Shengjia Wang +1
In this paper, we propose a unified framework of inexact stochastic Alternating Direction Method of Multipliers (ADMM) for solving nonconvex problems subject to linear constraints,…
cs.LG2023★ 1 cited
Beyond ADMM: A Unified Client-variance-reduced Adaptive Federated Learning Framework
Shuai Wang, Yanqing Xu, Zhiguo Wang +3
As a novel distributed learning paradigm, federated learning (FL) faces serious challenges in dealing with massive clients with heterogeneous data distribution and computation and…