Abstract: Federated learning (FL) is an innovative privacy-preserving machine learning paradigm that enables clients to train a global model without sharing their local data. However, the coexistence ...
Abstract: The mitigation of current crowding and the improvement of thermal distribution uniformity are of great significance for the high-power applications of silicon carbide photoconductive ...
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