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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.
Reinforcement Learning on Encrypted Data
The growing number of applications of Reinforcement Learning (RL) in real-world domains has led to the development of privacy-preserving techniques due to the inherently sensitive nature of data.
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