When Federated Learning Meets Privacy-Preserving Computation

Nowadays, with the development of artificial intelligence (AI), privacy issues attract wide attention from society and individuals. It is desirable to make the data available but invisible, i.e., to realize data analysis and calculation without disclosing the data to unauthorized entities. Federated...

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Veröffentlicht in:	ACM computing surveys 2024-12, Vol.56 (12), p.1-36, Article 319
Hauptverfasser:	Chen, Jingxue, Yan, Hang, Liu, Zhiyuan, Zhang, Min, Xiong, Hu, Yu, Shui
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial intelligence Computing methodologies Cryptography Security and privacy
Online-Zugang:	Volltext
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