Abstract: Federated learning (FL) is a promising distributed machine learning framework for mobile networks, where an aggregation server produces a global model by aggregating the local models from ...
Abstract: Due to the challenges in achieving accurate probabilities, representing uncertainty as intervals helps mitigate issues arising from the lack of distribution information. However, current ...
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