The paper derives a closed-form recursive update that removes the influence of forgotten samples from a linear classifier exactly, yielding a model identical to retraining on the remaining data.
Continual learning with pre-trained models: A survey
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Towards Efficient and Exact Forgetting Services in Pre-Trained-Model-based Continual Learning
The paper derives a closed-form recursive update that removes the influence of forgotten samples from a linear classifier exactly, yielding a model identical to retraining on the remaining data.