464 citations · 3k across the 68 of their papers we have counts for
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Stochastic Proximal Gradient Consensus Over Random Networks
Mingyi Hong, Tsung-Hui Chang
We consider solving a convex, possibly stochastic optimization problem over a randomly time-varying multi-agent network. Each agent has access to some local objective function, and…
Asynchronous Distributed ADMM for Large-Scale Optimization- Part II: Linear Convergence Analysis and Numerical Performance
Tsung-Hui Chang, Wei-Cheng Liao, Mingyi Hong +1
The alternating direction method of multipliers (ADMM) has been recognized as a versatile approach for solving modern large-scale machine learning and signal processing problems ef…
Asynchronous Distributed ADMM for Large-Scale Optimization- Part I: Algorithm and Convergence Analysis
Tsung-Hui Chang, Mingyi Hong, Wei-Cheng Liao +1
Aiming at solving large-scale learning problems, this paper studies distributed optimization methods based on the alternating direction method of multipliers (ADMM). By formulating…
Coordinated Multicasting with Opportunistic User Selection in Multicell Wireless Systems
Y. -W. Peter Hong, Wei-Chiang Li, Tsung-Hui Chang +1
Physical layer multicasting with opportunistic user selection (OUS) is examined for multicell multi-antenna wireless systems. By adopting a two-layer encoding scheme, a rate-adapti…