Search Results for author: Chenxi Zhong

Found 3 papers, 0 papers with code

Over-the-Air Federated Learning Over MIMO Channels: A Sparse-Coded Multiplexing Approach

no code implementations10 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.

Federated Learning

UAV-Assisted Hierarchical Aggregation for Over-the-Air Federated Learning

no code implementations23 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.

Federated Learning

Over-the-Air Federated Multi-Task Learning Over MIMO Multiple Access Channels

no code implementations27 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.

Federated Learning Multi-Task Learning

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