A Distributed, Asynchronous, and Incremental Algorithm for Nonconvex Optimization: An ADMM Approach

The alternating direction method of multipliers (ADMM) has been popular for solving many signal processing problems, convex or nonconvex. In this paper, we study an asynchronous implementation of ADMM for solving a nonconvex nonsmooth optimization problem, whose objective is the sum of a number of c...

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Veröffentlicht in:	IEEE transactions on control of network systems Jg. 5; H. 3; S. 935 - 945
1. Verfasser:	Hong, Mingyi
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 01.09.2018 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithm design and analysis Algorithms Alternating direction method of multipliers asynchronous optimization Control systems Delays distributed optimization Machine learning algorithms Nodes Optimization Signal processing Signal processing algorithms
ISSN:	2325-5870, 2372-2533
Online-Zugang:	Volltext
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