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Published in 2025 at "IEEE Transactions on Information Forensics and Security"
DOI: 10.1109/tifs.2025.3557671
Abstract: Privacy preservation are becoming increasingly significant in machine learning, with recent privacy regulations requiring the deletion of personal data and its impact on models. Although erasing data from storage is simple, removing the influence of…
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Keywords:
fedwiper federated;
federated unlearning;
exact unlearning;
model ... See more keywords