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Found 2 papers, 1 papers with code
Federated Unlearning: A Survey on Methods, Design Guidelines, and Evaluation Metrics
This highlights the necessity for novel Federated Unlearning (FU) algorithms, which can efficiently remove specific clients' contributions without full model retraining.
Knowledge Distillation for Federated Learning: a Practical Guide
Federated Learning (FL) enables the training of Deep Learning models without centrally collecting possibly sensitive raw data.
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