5 citations · 6 across the 3 of their papers we have counts for
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cs.CR2025★ 1 cited
FLSSM: A Federated Learning Storage Security Model with Homomorphic Encryption
Yang Li, Chunhe Xia, Chang Li +2
Federated learning based on homomorphic encryption has received widespread attention due to its high security and enhanced protection of user data privacy. However, the characteris…
cs.CR2024★ 5 cited
PPBFL: A Privacy Protected Blockchain-based Federated Learning Model
Yang Li, Chunhe Xia, Wanshuang Lin +1
With the rapid development of machine learning and a growing concern for data privacy, federated learning has become a focal point of attention. However, attacks on model parameter…
cs.CR2023
FBChain: A Blockchain-based Federated Learning Model with Efficiency and Secure Communication
Yang Li, Chunhe Xia, Tianbo Wang
Privacy and security in the parameter transmission process of federated learning are currently among the most prominent concerns. However, there are two thorny problems caused by u…