Resilient Primal-Dual Optimization Algorithms for Distributed Resource Allocation

Distributed algorithms for multiagent resource allocation can provide privacy and scalability over centralized algorithms in many cyber-physical systems. However, the distributed nature of these algorithms can render these systems vulnerable to man-in-the-middle attacks that can lead to nonconvergen...

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Veröffentlicht in:	IEEE transactions on control of network systems Jg. 8; H. 1; S. 282 - 294
Hauptverfasser:	Turan, Berkay, Uribe, Cesar A., Wai, Hoi-To, Alizadeh, Mahnoosh
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 01.03.2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Control systems Convergence Cost function Cyber-physical systems distributed algorithms gradient methods Heuristic algorithms multi-agent systems Multiagent systems Optimization optimization methods Resource allocation Resource management Robustness
ISSN:	2325-5870, 2372-2533
Online-Zugang:	Volltext
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