Calibration Collapse in Federated Industrial IoT Intrusion Detection Under Non-IID Heterogeneity
Federated learning (FL) has been proposed for privacy-preserving Industrial Internet of Things (IIoT) intrusion detection, and predictive uncertainty is expected to support zeroday attack recognition. We compare centralized learning with FedAvg, Mean, Trimmed Mean, Krum, and DP-FedAvg on nearindependent and identically...