most citedMist-Assisted Federated Learning for Intrusion Detection in Heterogeneous IoT Networks

2 citations · 2 across the 2 of their papers we have counts for

collaborators
Showing cs.NIShow all

2 papers · 1 filter

cs.NI2026

ASA: Adaptive Smart Agent Federated Learning via Device-Aware Clustering for Heterogeneous IoT

Ali Salimi, Saadat Izadi, Mahmood Ahmadi +1

Federated learning (FL) has become a promising answer to facilitating privacy-preserving collaborative learning in distributed IoT devices. However, device heterogeneity is a key c…

cs.NI2025★ 2 cited

Mist-Assisted Federated Learning for Intrusion Detection in Heterogeneous IoT Networks

Saadat Izadi, Shakib Komasi, Ali Salimi +2

The rapid growth of the Internet of Things (IoT) offers new opportunities but also expands the attack surface of distributed, resource-limited devices. Intrusion detection in such…