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: The world's oceans cover more than 70% of the Earth's surface and yet, effective communication in underwater environments has remained a formidable challenge. This research paper aims to ...