Let's be honest, we're all drama queens sometimes. Whether you're texting your bestie you're “literally dying” over the latest celebrity gossip or declaring on social media that Monday mornings are ...
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), as a distributed machine learning paradigm, enables multiple users to train machine learning models locally using individual data and then update global model in a ...
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