FedContrast-Shot: Privacy-Preserving Federated Contrastive Meta-Learning for Few-Shot Anomaly Detection in Cloud–Edge IIoT
Cloud-based deployments of Industrial Internet of Things (IIoT) systems have become more common for real-time monitoring and control of critical systems. However, anomaly detection in such environments remains challenging because labeled attack data are scarce, operational data are distributed across privacy-sensitive...