most citedPRECAD: Privacy-Preserving and Robust Federated Learning via Crypto-Aided Differential Privacy

8 citations · 9 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CR2023★ 1 cited

DP-BREM: Differentially-Private and Byzantine-Robust Federated Learning with Client Momentum

Xiaolan Gu, Ming Li, Li Xiong

Federated Learning (FL) allows multiple participating clients to train machine learning models collaboratively while keeping their datasets local and only exchanging the gradient o…

cs.CR2021★ 8 cited

PRECAD: Privacy-Preserving and Robust Federated Learning via Crypto-Aided Differential Privacy

Xiaolan Gu, Ming Li, Li Xiong

Federated Learning (FL) allows multiple participating clients to train machine learning models collaboratively by keeping their datasets local and only exchanging model updates. Ex…