A distributed optimization algorithm with guaranteed optimality subject to lossy information-sharing over directed networks

This paper addresses the distributed optimization problem subject to lossy information-sharing. In the setting, each agent is assumed to have an individual cost function that is strongly convex and smooth. The goal of agents is to cooperatively minimize the sum of the local cost functions associated...

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Veröffentlicht in:	Journal of the Franklin Institute Jg. 362; H. 16; S. 107865
Hauptverfasser:	Liu, Shuai, Wang, Dong, Chen, Mingfei
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Inc 15.10.2025
Schlagworte:	Distributed algorithm Linear convergence rate Lossy information-sharing Uncoordinated step sizes Linear convergence rate Uncoordinated step sizes Lossy information-sharing Distributed algorithm
ISSN:	0016-0032
Online-Zugang:	Volltext
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