Differentially private distributed algorithms for stochastic aggregative games

Designing privacy-preserving distributed algorithms for stochastic aggregative games is urgent due to the privacy issues caused by information exchange between players. This paper proposes two differentially private distributed algorithms seeking the Nash equilibrium in stochastic aggregative games....

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Bibliographic Details

Published in:	Automatica (Oxford) Vol. 142; p. 110440
Main Authors:	Wang, Jimin, Zhang, Ji-Feng, He, Xingkang
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.08.2022
Subjects:	Differential privacy Distributed algorithms Stochastic aggregative games Stochastic approximation Differential privacy Stochastic approximation Distributed algorithms Stochastic aggregative games
ISSN:	0005-1098, 1873-2836
Online Access:	Get full text
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