Abstract: Federated learning (FL) is an emerging distributed machine learning paradigm that enables collaborative model training without sharing local data. Despite its advantages, FL suffers from ...
Abstract: Micro-Doppler signatures provide a unique way to characterize the motion of flying objects based on their radar reflections. In this study, we leverage a dataset developed by DIAT to ...
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