Federated Multi-Center Deep Support Vector Data Description With Lyapunov Convergence Guarantees for Anomaly Detection in IIoT Networks
Multi-site Industrial Internet of Things (IIoT) anomaly detection demands cross-site collaboration without sharing raw data. Federated learning enables such collaboration, yet existing methods overlook challenges unique to one-class detectors. We identify a structural conflict that, to our knowledge, has not been chara...