Abstract: Federated learning (FL) is a useful tool that enables the training of machine learning models over distributed data without having to collect data centrally. When deploying FL in constrained ...
Abstract: In this work we present a full-duplex (FD) underwater acoustic (UWA) communication system capable of simultaneously transmitting and receiving acoustic signals in the same frequency ...
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