Machine Unlearning under Retain-Forget Entanglement
Machine Unlearning under Retain-Forget Entanglement explores A novel two-phase optimization framework for machine unlearning that effectively handles entangled retain-forget data, outperforming existing methods in accuracy retention and removal fidelity.. Commercial viability score: 7/10 in Machine Unlearning.
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