10 citations · 14 across the 8 of their papers we have counts for
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cs.CR2021★ 10 cited
On the Practicality of Differential Privacy in Federated Learning by Tuning Iteration Times
Yao Fu, Yipeng Zhou, Di Wu +3
In spite that Federated Learning (FL) is well known for its privacy protection when training machine learning models among distributed clients collaboratively, recent studies have…
cs.CR2020
Mitigating Sybil Attacks on Differential Privacy based Federated Learning
Yupeng Jiang, Yong Li, Yipeng Zhou +1
In federated learning, machine learning and deep learning models are trained globally on distributed devices. The state-of-the-art privacy-preserving technique in the context of fe…