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20162022
most citedOn the Practicality of Differential Privacy in Federated Learning by Tuning Iteration Times

10 citations · 13 across the 6 of their papers we have counts for

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Showing 2020Show all

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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…