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    Federated Learning over Harmonized Data Silos

    Federated Learning is a distributed machine learning approach that enables geographically distributed data silos to collaboratively learn a joint machine learning model without sharing data. Most of the existi...

    Dimitris Stripelis, José Luis Ambite in Artificial Intelligence for Personalized Medicine (2023)