Abstract: Federated Learning (FL) is a popular privacy-preserving machine learning paradigm, enabling collaborative training among distributed devices coordinated by a central server, without ...
Abstract: In the industrial scene, mechanical equipment often faces dynamic changes of speed, load, and other working conditions, so accurate diagnosis of rolling bearing faults is still a key ...
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