Author

Khaled Nasri

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#federated learning Oct 2026

FED-XID: a novel federated learning based architecture for distributed anomaly detection in smart grids

FED-XID provides a scalable, lightweight, and deployable solution for anomaly detection in resource-constrained smart grid environments, and significantly reduces privacy exposure through data locality sharing only compact tree structures rather than raw consumption data.

Lakhdar Goudjil, Khaled Nasri, Chaima Talhi et al. · Cluster Computing · 0 citations

Review Open access Aug 2026

An Empirical Comparative Review of Classifiers for Real-Time IoT Cyber Attack Detection

The rapid growth of the Internet of Things (IoT) has significantly expanded the attack surface of modern networks, generating an urgent need for robust and efficient intrusion detection mechanisms. Machine learning (ML) is a promising approach to detect cyber attacks in IoT environments by automatically learning discri...

Youssef Boulkhiout, Samir Balbal, Khaled Nasri et al. · Statistics, Optimization &am... · 0 citations