Paper Info
Title
Bregman Parallel Direction Method of Multipliers for Distributed Optimization via Mirror Averaging.
Abstract
Distributed optimization aims to optimize a global objective formed by a sum of coupled local convex functions over a graph via only local computation and communication. In this letter, we propose the Bregman parallel direction method of multipliers (PDMM) based on a generalized averaging step named mirror averaging. We establish the global convergence and O(1/T) convergence rate of the Bregman PD...
Year
DOI
Venue
2018
10.1109/LCSYS.2018.2833116
IEEE Control Systems Letters
Keywords
DocType
Volume
Convex functions,Mirrors,Convergence,Optimization,Symmetric matrices,Linear matrix inequalities,Indexes
Journal
2
Issue
ISSN
Citations 
2
2475-1456
0
PageRank 
References 
Authors
0.34
14
3
Name
Order
Citations
PageRank
Yue Yu121929.56
Behçet Açikmese24115.88
Mehran Mesbahi348961.85