no code implementations • 10 Apr 2023 • Chenxi Zhong, Xiaojun Yuan
We propose a novel sparse-coded multiplexing (SCoM) approach that employs sparse-coding compression and MIMO multiplexing to balance the communication overhead and the learning performance of the FL model.
no code implementations • 23 Sep 2022 • Xiangyu Zhong, Xiaojun Yuan, Huiyuan Yang, Chenxi Zhong
With huge amounts of data explosively increasing in the mobile edge, over-the-air federated learning (OA-FL) emerges as a promising technique to reduce communication costs and privacy leak risks.
no code implementations • 27 Dec 2021 • Chenxi Zhong, Huiyuan Yang, Xiaojun Yuan
We establish a communication-learning analysis framework for the proposed OA-FMTL scheme by considering the spatial correlation between devices, and formulate an optimization problem for the design of transceiver beamforming and device selection.