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Statistical Privacy-Preserving Distributed Online Aggregative Games via Mirror Descent with Correlated Perturbations

Distributed online aggregative games are widely used to model sequential decision-making problems in dynamic networked systems. However, the repeated information exchange required by distributed algorithms may disclose players’ sensitive local data. This paper investigates a privacy-preserving distr...

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Bibliografiske detaljer
Principais autores: Meng Yuan, Rui Yu
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2026-05-01
Serier:Mathematics
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Online adgang:https://www.mdpi.com/2227-7390/14/10/1731
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