Training Neural Networks on Remote Edge Devices for Unseen Class Classification
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DOI: 10.1109/lsp.2024.3383948
Abstract: Conventionally, training a deep neural network (DNN) involves minimizing an empirical risk over a training dataset that comprises a certain number of classes. However, for training more versatile DNNs on edge devices, the training datasets… read more here.
Keywords: remote edge; edge; edge devices; training neural ... See more keywords