Abstract: Federated Learning (FL) is increasingly adopted for training ML models, driven by its ability to preserve data privacy and reduce communication costs. However, the limited availability of ...
Abstract: Today, making decisions in multi-parameter contexts requires long computational times and increasingly powerful computers. In addition, we are often interested not only in the final decision ...
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