186 citations · 194 across the 3 of their papers we have counts for
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cs.CR2022★ 186 cited
The Right to be Forgotten in Federated Learning: An Efficient Realization with Rapid Retraining
Yi Liu, Lei Xu, Xingliang Yuan +2
In Machine Learning, the emergence of \textit{the right to be forgotten} gave birth to a paradigm named \textit{machine unlearning}, which enables data holders to proactively erase…
cs.CR2022★ 4 cited
Aggregation Service for Federated Learning: An Efficient, Secure, and More Resilient Realization
Yifeng Zheng, Shangqi Lai, Yi Liu +3
Federated learning has recently emerged as a paradigm promising the benefits of harnessing rich data from diverse sources to train high quality models, with the salient features th…