Debiased Device Sampling for Federated Edge Learning in Wireless Networks
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DOI: 10.1109/tmc.2024.3464740
Abstract: As a privacy-preserved distributed machine learning paradigm, federated edge learning (FEL) was designed to absorb knowledge from user devices to construct intelligent services without transmitting raw data. However, this paradigm depends on the local training… read more here.
Keywords: device; federated edge; wireless networks; device sampling ... See more keywords