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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Vydáno v:	Automatica (Oxford) Ročník 142; s. 110440
Hlavní autoři:	Wang, Jimin, Zhang, Ji-Feng, He, Xingkang
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier Ltd 01.08.2022
Témata:	Differential privacy Distributed algorithms Stochastic aggregative games Stochastic approximation Differential privacy Stochastic approximation Distributed algorithms Stochastic aggregative games
ISSN:	0005-1098, 1873-2836
On-line přístup:	Získat plný text
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