April 22, 2024, 4:43 a.m. | Saeed Razavikia, Jos\'e Mairton Barros Da Silva J\'unior, Carlo Fischione

cs.LG updates on arXiv.org arxiv.org

arXiv:2311.04253v2 Announce Type: replace-cross
Abstract: In this work, we investigate federated edge learning over a fading multiple access channel. To alleviate the communication burden between the edge devices and the access point, we introduce a pioneering digital over-the-air computation strategy employing q-ary quadrature amplitude modulation, culminating in a low latency communication scheme. Indeed, we propose a new federated edge learning framework in which edge devices use digital modulation for over-the-air uplink transmission to the edge server while they have no …

abstract access amplitude arxiv blind communication computation cs.lg devices digital edge edge devices eess.sp federated learning indeed latency low low latency multiple strategy the edge type via work

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