2 citations · 2 across the 2 of their papers we have counts for
2 papers
math.OC2024
MUSIC: Accelerated Convergence for Distributed Optimization With Inexact and Exact Methods
Mou Wu, Haibin Liao, Zhengtao Ding +1
Gradient-type distributed optimization methods have blossomed into one of the most important tools for solving a minimization learning task over a networked agent system. However,…
math.OC2018★ 2 cited
Convergence Analysis of a Cooperative Diffusion Gauss-Newton Strategy
Mou Wu, Naixue Xiong, Liansheng Tan
In this paper, we investigate the convergence performance of a cooperative diffusion Gauss-Newton (GN) method, which is widely used to solve the nonlinear least squares problems (N…