#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