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Published in 2025 at "IEEE Transactions on Information Forensics and Security"
DOI: 10.1109/tifs.2025.3607271
Abstract: In Federated Learning (FL), clients share gradients with a central server while keeping their data local. However, malicious servers could deliberately manipulate the models to reconstruct clients’ data from shared gradients, posing significant privacy risks.…
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Keywords:
gradient puppeteer;
leakage;
existing aglas;
leakage attacks ... See more keywords