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Published in 2022 at "IEEE Transactions on Information Forensics and Security"
DOI: 10.1109/tifs.2022.3196274
Abstract: Federated learning enables clients to train a machine learning model jointly without sharing their local data. However, due to the centrality of federated learning framework and the untrustworthiness of clients, traditional federated learning solutions are…
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Keywords:
blockchain;
preserving byzantine;
federated learning;
privacy preserving ... See more keywords