IEEE

Federated Learning With Explainable AI for Malicious Traffic Detection in IoT Networks

Abstract: The rapid proliferation of Internet of Things (IoT) devices has intensified the need for scalable, privacy-preserving, and interpretable intrusion detection systems (IDS). In this work, we ...
IEEE

Adaptive Model Compression for Efficient Federated Learning in IoT Systems

Abstract: Federated learning (FL), as an emerging collaborative learning paradigm, offers a promising solution to tackle learning challenges in IoT environments. However, the inherent mechanism of FL ...