J. Alzubi

A Privacy-Preserving Federated Learning Framework for Intrusion Detection in Healthcare IoT Environments

PPFL-IDS combines federated model aggregation with differential privacy noise injection and secure aggregation protocols to train a lightweight gradient-boosted ensemble IDS without exposing local device data, demonstrating that strong privacy guarantees and high detection accuracy can be achieved simultaneously in fed...