A FEDERATED ADVERSARIAL FAULT DIAGNOSIS METHOD DRIVEN BY FAULT INFORMATION DISCREPANCY

Federated learning (FL) facilitates the collaborative optimization of poise pads in bulk fault diagnosis models across multiple clients.However, the performance of the global model in the federated center is contingent upon the effectiveness of the local models.Low-quality local models participating in the federation can result in negative transfer

moen rothbury faucet Rapidly growing GPS (Global Positioning System) trajectories hide much valuable information, such as city road planning, urban travel demand, and population migration.In order to mine the hidden information and to capture better clustering results, a trajectory regression clustering method (an unsupervised trajectory clustering