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Machine unlearning through fine-grained model parameters perturbation
Machine unlearning techniques, which involve retracting data records and reducing influence of said data on trained models, help with the user privacy protection objective but incur significant computational costs.
eCIL-MU: Embedding based Class Incremental Learning and Machine Unlearning
New categories may be introduced over time, or existing categories may need to be reclassified.
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