Abstract: Split learning (SL), an emerging distributed deep learning paradigm, enables collaborative model training without exposing clients’ raw data by partitioning neural networks between clients ...
As the artificial intelligence (AI) industry grows and memory chip prices climb sharply, multilayer ceramic capacitor (MLCC) prices used in AI servers are also surging. Because AI servers consume far ...
Abstract: In Split learning (SL), a promising edge learning, edge devices and a server split a neural network and jointly train by exchanging smashed data and corresponding gradients. To alleviate the ...
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