Differential Privacy in Linear Distributed Control Systems: Entropy Minimizing Mechanisms and Performance Tradeoffs

In distributed control systems with shared resources, participating agents can improve the overall performance of the system by sharing data about their personal preferences. In this paper, we formulate and study a natural tradeoff arising in these problems between the privacy of the agent's da...

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Veröffentlicht in:	IEEE transactions on control of network systems Jg. 4; H. 1; S. 118 - 130
Hauptverfasser:	Yu Wang, Zhenqi Huang, Mitra, Sayan, Dullerud, Geir E.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 01.03.2017 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Communication networks Control systems Data privacy Decentralized control decision/estimation theory differential privacy Discrete time systems distributed algorithms/control Distributed control systems Distributed databases Entropy Error analysis Estimation Lower bounds Noise control Noise sensitivity Parameter sensitivity Performance enhancement Preferences Privacy Time measurement Tracking errors Tradeoffs
ISSN:	2325-5870, 2372-2533
Online-Zugang:	Volltext
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