SeaFlame: Communication-Efficient Secure Aggregation for Federated Learning against Malicious Entities

Secure aggregation is a popular solution to ensuring privacy for federated learning. However, when considering malicious participants in secure aggregation, it is difficult to achieve both privacy and high efficiency. Therefore, we propose SeaFlame, a communication-efficient secure aggregation prot...

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Bibliografiska uppgifter

Huvudupphov:	Jinling Tang, Haixia Xu, Huimei Liao, Yinchang Zhou
Materialtyp:	Artigo
Språk:	Inglês
Utgiven:	Ruhr-Universität Bochum 2025-03-01
Serie:	Transactions on Cryptographic Hardware and Embedded Systems
Ämnen:	Secure aggregation communication efficiency malicious privacy federated learning
Länkar:	https://tches.iacr.org/index.php/TCHES/article/view/12042
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