Towards Scalable Exact Machine Unlearning Using Parameter-Efficient Fine-Tuning
Machine unlearning is the process of efficiently removing the influence of a training data instance from a trained machine learning model without retraining it from scratch. A popular subclass of unlearning approaches is exact machine unlearning, which focuses on techniques that explicitly guarantee...
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