Abstract: Federated learning is useful when predicting user preferences due to its ability to keep user data private. As such, certain data samples may be more useful than others. For instance, with a ...
Abstract: Federated learning (FL) is a collaborative machine learning approach that allows multiple clients to train a model jointly while keeping their data local, thus enhancing privacy. A critical ...
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