Update Selective Parameters: Federated Machine Unlearning Based on Model Explanation

H Xu, T Zhu, L Zhang, W Zhou… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Federated learning is a promising privacy-preserving paradigm for distributed machine
learning. In this context, there is sometimes a need for a specialized process called machine …

Update Selective Parameters: Federated Machine Unlearning Based on Model Explanation

H Xu, T Zhu, L Zhang, W Zhou… - IEEE Transactions on Big …, 2024 - computer.org
Federated learning is a promising privacy-preserving paradigm for distributed machine
learning. In this context, there is sometimes a need for a specialized process called machine …

Update Selective Parameters: Federated Machine Unlearning Based on Model Explanation

H Xu, T Zhu, L Zhang, W Zhou, PS Yu - arXiv preprint arXiv:2406.12516, 2024 - arxiv.org
Federated learning is a promising privacy-preserving paradigm for distributed machine
learning. In this context, there is sometimes a need for a specialized process called machine …