most citedLancelot: Towards Efficient and Privacy-Preserving Byzantine-Robust Federated Learning within Fully Homomorphic Encryption

2 citations · 2 across the 1 of their papers we have counts for

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1 paper

cs.CR2024★ 2 cited

Lancelot: Towards Efficient and Privacy-Preserving Byzantine-Robust Federated Learning within Fully Homomorphic Encryption

Siyang Jiang, Hao Yang, Qipeng Xie +3

In sectors such as finance and healthcare, where data governance is subject to rigorous regulatory requirements, the exchange and utilization of data are particularly challenging.…