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PUFFLE: Balancing Privacy, Utility, and Fairness in Federated Learning

Fuente: arXiv

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Dettagli Bibliografici
Autori principali:	Corbucci, Luca, Heikkila, Mikko A, Noguero, David Solans, Monreale, Anna, Kourtellis, Nicolas
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Machine Learning Artificial Intelligence Cryptography and Security Computers and Society
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

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