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cs.LG2024
Scalable Federated Unlearning via Isolated and Coded Sharding
Yijing Lin, Zhipeng Gao, Hongyang Du +4
Federated unlearning has emerged as a promising paradigm to erase the client-level data effect without affecting the performance of collaborative learning models. However, the fede…
cs.LG2024★ 1 cited
Blockchain-enabled Trustworthy Federated Unlearning
Yijing Lin, Zhipeng Gao, Hongyang Du +3
Federated unlearning is a promising paradigm for protecting the data ownership of distributed clients. It allows central servers to remove historical data effects within the machin…