Abstract: While preserving the privacy of federated learning (FL), differential privacy (DP) inevitably degrades the utility (i.e., accuracy) of FL due to model perturbations caused by DP noise added ...
Abstract: Radar-based human motion sensing has significantly advanced. However, environmental noise and interference bring about new challenges, particularly in the blind denoising scenario where it ...
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