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Author

Ahmed Fahad

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#federated learning Open access Oct 2026

FedStaP: Shared Feature Statistics and Prior-Calibrated Training for Non-IID Federated Intrusion Detection in IoT Networks

Federated learning allows IoT gateways to train a shared intrusion detector without exporting traffic records, but gateways observe different attack classes and scale their flow features differently. Stateful optimisers such as SCAFFOLD correct the resulting client drift at the cost of per-client memory and twice the p...

Ahmed Fahad, Mohammed F. Alomari, Yazan Aljeroudi · 0 citations
#federated learning Open access Oct 2026

FedStaP: Shared Feature Statistics and Prior-Calibrated Training for Non-IID Federated Intrusion Detection in IoT Networks

Federated learning allows IoT gateways to train a shared intrusion detector without exporting traffic records, but gateways observe different attack classes and scale their flow features differently. Stateful optimisers such as SCAFFOLD correct the resulting client drift at the cost of per-client memory and twice the p...

Ahmed Fahad, Mohammed F. Alomari, Yazan Aljeroudi · 0 citations
#federated learning Open access Sep 2026

FedStaP: code, trained models and results for non-IID federated intrusion detection (CICIoT2023, Edge-IIoTset)

Research artefact for the study FedStaP: Shared Feature Statistics and Prior-Calibrated Training for Non-IID Federated Intrusion Detection in IoT Networks. Contents. The full implementation (Hydra configurations, federated simulator, the proposed FedStaP method, ten global-model baselines, a personalised reference and...

Ahmed Fahad, Mohammed F. Alomari, Yazan Aljeroudi · 0 citations
#federated learning Open access Sep 2026

FedStaP: code, trained models and results for non-IID federated intrusion detection (CICIoT2023, Edge-IIoTset)

Research artefact for the study FedStaP: Shared Feature Statistics and Prior-Calibrated Training for Non-IID Federated Intrusion Detection in IoT Networks. Contents. The full implementation (Hydra configurations, federated simulator, the proposed FedStaP method, ten global-model baselines, a personalised reference and...

Ahmed Fahad, Mohammed F. Alomari, Yazan Aljeroudi · 0 citations

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