TRAINING METHOD AND APPARATUS
    1.
    发明公开

    公开(公告)号:US20230368025A1

    公开(公告)日:2023-11-16

    申请号:US18306513

    申请日:2023-04-25

    CPC classification number: G06N3/08

    Abstract: An apparatus, method and computer program is described comprising: obtaining local data comprising one or more samples at a user device; computing representations of at least some of said samples by passing said one or more samples through a local feature extractor; clustering the computed representations to generate local centroids; providing generated local centroids and parameters of the local feature extractor to a server; receiving global centroids and global feature extractor parameters from said server; updating the parameters of the local feature extractor based on the received global feature extractor parameters; assigning selected samples of one or more samples and one or more augmentations of said selected samples to global clusters; and further updating the updated parameters of the local feature extractor using machine learning principles, thereby generating a trained local feature extractor.

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