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20202026
most citedAn Efficient and Multi-private Key Secure Aggregation for Federated Learning

3 citations · 6 across the 8 of their papers we have counts for

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cs.LG2024

Efficiently Achieving Secure Model Training and Secure Aggregation to Ensure Bidirectional Privacy-Preservation in Federated Learning

Xue Yang, Depan Peng, Yan Feng +3

Bidirectional privacy-preservation federated learning is crucial as both local gradients and the global model may leak privacy. However, only a few works attempt to achieve it, and…