Hussein Azzan

SEAF-FL-MLP: Audited Federated Edge-AI Anomaly Detection with Client Heterogeneity and Shortcut-Sensitivity Analysis

Smart agriculture and industrial Internet-of-Things(IoT) systems increasingly rely on distributed sensors, edge gate-ways, and networked control services, making privacy-preserving and communication-efficient anomaly detection essential. Centralized learning can expose operational telemetry, increase communication over...