Abstract: Knowledge removal is a crucial task in AI safety and for aligning with the Right To Be Forgotten (RTBF) principle. Machine Unlearning (MU) is an important means for achieving knowledge ...
Federated Learning (FL) enables decentralized training while preserving data privacy, critical for sensitive domains like medical imaging. Regulatory demands for the "right to be forgotten" have ...
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