Primal-dual algorithm for distributed optimization with local domains on signed networks

We consider the distributed optimization problem on signed networks. Each agent has a local function which depends on a subset of the components of the variable and is subject to a local constraint set. A primal-dual algorithm with fixed step size is proposed. The algorithm ensures that the agents&#...

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Veröffentlicht in:	Chinese Control Conference S. 4930 - 4935
Hauptverfasser:	Ren, Xiaoxing, Li, Dewei, Xi, Yugeng, Pan, Lulu, Shao, Haibin
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	Technical Committee on Control Theory, Chinese Association of Automation 01.07.2020
Schlagworte:	Automation Control systems Convex functions convex optimization distributed optimization Indexes Machine learning algorithms multi-agent systems Optimization primal-dual method signed network Silicon
ISSN:	1934-1768
Online-Zugang:	Volltext
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