Sökning: "Iterative Hard thresholding"

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  1. 1. Over-the-Air Federated Learning with Compressed Sensing

    Master-uppsats, Linköpings universitet/Kommunikationssystem

    Författare :Adrian Edin; [2023]
    Nyckelord :machine learning; ML; Federated Learning; FL; Over-the-air; Over-the-air computation; OtA; OtA computation; AirComp; Compressed sensing; CS; Iterative Hard thresholding; IHT;

    Sammanfattning : The rapid progress with machine learning (ML) technology has solved previously unsolved problems, but training these ML models requires ever larger datasets and increasing amounts of computational resources. One potential solution is to enable parallelization of the computations and allow local processing of training data in distributed nodes, such as Federated Learning (FL). LÄS MER