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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| Format: | Artigo |
| Sprache: | Inglês |
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MDPI AG
2026-05-01
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| Schriftenreihe: | Mathematics |
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| Online-Zugang: | https://www.mdpi.com/2227-7390/14/10/1731 |
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