Cross-silo Federated Learning with Record-level Personalized Differential Privacy

Federated learning (FL) enhanced by differential privacy has emerged as a popular approach to better safeguard the privacy of client-side data by protecting clients' contributions during the training process. Existing solutions typically assume a uniform privacy budget for all records and provi...

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Veröffentlicht in:	Proceedings of the ... ACM Conference on Computer and Communications Security Jg. 2024; S. 303
Hauptverfasser:	Liu, Junxu, Lou, Jian, Xiong, Li, Liu, Jinfei, Meng, Xiaofeng
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States 01.10.2024
Schlagworte:	Differential Privacy Federated Learning Personalized Privacy Protection
ISSN:	1543-7221, 1543-7221
Online-Zugang:	Weitere Angaben
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