TFPA: A traceable federated privacy aggregation protocol

Federated learning is gaining significant interests as it enables model training over a large volume of data that is distributedly stored over many users. However, Malicious or dishonest aggregator still possible to infer sensitive information and even restore private data from local model updates e...

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Veröffentlicht in:	World wide web (Bussum) Jg. 26; H. 5; S. 3275 - 3301
Hauptverfasser:	Li, Xingyu, Long, Yucheng, Hu, Li, Tan, Xin, Li, Jin
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.09.2023 Springer Nature B.V
Schlagworte:	Accuracy Algorithms Computer Science Database Management Fault tolerance Information Systems Applications (incl.Internet) Machine learning Operating Systems Privacy Special Issue on Privacy and Security in Machine Learning Training Privacy Decentralized Federated learning Undirectional proxy re-encryption Byzantine-fault-tolerant Traceable ring signature
ISSN:	1386-145X, 1573-1413
Online-Zugang:	Volltext
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