464 citations · 3k across the 68 of their papers we have counts for
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A Proximal Dual Consensus ADMM Method for Multi-Agent Constrained Optimization
Tsung-Hui Chang
This paper studies efficient distributed optimization methods for multi-agent networks. Specifically, we consider a convex optimization problem with a globally coupled linear equal…
Multicell Coordinated Beamforming with Rate Outage Constraint--Part II: Efficient Approximation Algorithms
Wei-Chiang Li, Tsung-Hui Chang, Chong-Yung Chi
This paper studies the coordinated beamforming (CoBF) design for the multiple-input single-output interference channel, provided that only channel distribution information is known…
Multicell Coordinated Beamforming with Rate Outage Constraint--Part I: Complexity Analysis
Wei-Chiang Li, Tsung-Hui Chang, Chong-Yung Chi
This paper studies the coordinated beamforming (CoBF) design in the multiple-input single-output interference channel, assuming only channel distribution information given a priori…
Multi-Agent Distributed Optimization via Inexact Consensus ADMM
Tsung-Hui Chang, Mingyi Hong, Xiangfeng Wang
Multi-agent distributed consensus optimization problems arise in many signal processing applications. Recently, the alternating direction method of multipliers (ADMM) has been used…
A Block Successive Upper Bound Minimization Method of Multipliers for Linearly Constrained Convex Optimization
Mingyi Hong, Tsung-Hui Chang, Xiangfeng Wang +3
Consider the problem of minimizing the sum of a smooth convex function and a separable nonsmooth convex function subject to linear coupling constraints. Problems of this form arise…