A Fully Parallel Distributed Algorithm for Non-Smooth Convex Optimization with Coupled Constraints: Application to Linear Algebraic Equations

In this paper, collaborative optimization of sum of convex functions is considered where agents make decision using local information over networks subject to globally coupled affine equality and inequality constraints. In this problem, the globally coupled equality and inequality constraints'...

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Veröffentlicht in:	Proceedings of the American Control Conference S. 920 - 925
Hauptverfasser:	Alaviani, S. Sh, Kelkar, A. G., Vaidya, U.
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	American Automatic Control Council 08.06.2022
Schlagworte:	Collaboration Convex functions Cost function Decision feedback equalizers Distributed algorithms Partitioning algorithms Protocols
ISSN:	2378-5861
Online-Zugang:	Volltext
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