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20142024
most citedDistributed Stochastic Consensus Optimization with Momentum for Nonconvex Nonsmooth Problems

38 citations · 71 across the 16 of their papers we have counts for

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5 papers · 1 filter

math.OC2023

An Accelerated Stochastic ADMM for Nonconvex and Nonsmooth Finite-Sum Optimization

Yuxuan Zeng, Zhiguo Wang, Jianchao Bai +1

The nonconvex and nonsmooth finite-sum optimization problem with linear constraint has attracted much attention in the fields of artificial intelligence, computer, and mathematics,…

math.OC2022

Nonlinear Set Membership Filter with State Estimation Constraints via Consensus-ADMM

Xiaowei Li, Xuqi Zhang, Zhiguo Wang +1

This paper considers the state estimation problem for nonlinear dynamic systems with unknown but bounded noises. Set membership filter (SMF) is a popular algorithm to solve this pr…

math.OC2022★ 1 cited

Distributed Scaled Proximal ADMM Algorithms for Cooperative Localization in WSNs

Mei Zhang, Zhiguo Wang, Feng Yin +1

Distributed cooperative localization in wireless networks is a challenging problem since it typically requires solving a large-scale nonconvex and nonsmooth optimization problem. I…

math.OC2020★ 38 cited

Distributed Stochastic Consensus Optimization with Momentum for Nonconvex Nonsmooth Problems

Zhiguo Wang, Jiawei Zhang, Tsung-Hui Chang +2

While many distributed optimization algorithms have been proposed for solving smooth or convex problems over the networks, few of them can handle non-convex and non-smooth problems…

math.OC2018★ 1 cited

On Equivalence and Computational Efficiency of the Major Relaxation Methods for Minimum Ellipsoid Containing the Intersection of Ellipsoids

Zhiguo Wang, Xiaojing Shen, Yunmin Zhu

This paper investigates the problem on the minimum ellipsoid containing the intersection of multiple ellipsoids, which has been extensively applied to information science, target t…