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 ...
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We address the challenging problem of estimating the directions-of-arrival (DOAs) of multiple off-grid signals using a single snapshot of one-bit quantized measurements. Conventional DOA estimation ...
A student sits near the windows on the main floor of Hale Library. Their laptop is open, but the screen has not changed in a few minutes. Instead, their phone rests against a water bottle. A TikTok ...