When Unlearning Is Free: Leveraging Low Influence Points to Reduce Computational Costs

Apple ML Research proposes a method to reduce computational costs in machine unlearning by leveraging low influence points. Unlike existing methods that treat all forget-set points equally, this approach differentiates based on influence, potentially lowering compute requirements.