We investigate straggler-relay association and ener-gy consumption minimization for cooperative relay assisted fed-erated learning (FL) over fading channels to tackle the straggler effect and limited device energy. To the best of our knowledge, this is the first work to explore joint computation-communication optimization for cooperative relay assisted FL over fading chan-nels, where some devices act as relays for stragglers. A closed-form expression for the computation frequency is derived to facilitate low-complexity straggler identification. A bandwidth sharing decode-and-forward relay scheme is proposed, which benefits both straggler and relay. The closed-form expressions for the transmission power, which minimizes the computation and communication energy of devices under global time constraints, are derived. A low-complexity joint straggler-relay association and multi-domain resources optimization (JSAMRO) algorithm is proposed. Simulation results show that the proposed JSAMRO algorithm achieves a significant performance gain in terms of device's energy consumption and availability rate over the comparison schemes.


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    Title :

    Cooperative Relay Assisted Federated Learning over Fading Channels


    Contributors:
    Dong, Zhihao (author) / Zhu, Xu (author) / Cao, Jie (author) / Jiang, Yufei (author) / Lau, Vincent K.N. (author)


    Publication date :

    2024-06-24


    Size :

    418256 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English