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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Bibliographic Details

Published in:	Proceedings of the American Control Conference pp. 920 - 925
Main Authors:	Alaviani, S. Sh, Kelkar, A. G., Vaidya, U.
Format:	Conference Proceeding
Language:	English
Published:	American Automatic Control Council 08.06.2022
Subjects:	Collaboration Convex functions Cost function Decision feedback equalizers Distributed algorithms Partitioning algorithms Protocols
ISSN:	2378-5861
Online Access:	Get full text
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