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Split Unlearning

Xu Wang
Baihe Ma
Caijun Sun
Wei Ni
Ren Ping Liu
Abstract

We for the first time propose, implement, and evaluate a practical Split Unlearning framework by enabling SISA-based machine unlearning (SP'21) in Split Learning (SL).

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