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Huda Alsobhi

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Open access 2026

An Adaptive Federated Learning with XGBoost Ensembles for Intrusion Detection in Heterogeneous IoT Networks

An Adaptive Action-Based Federated Learning (AA-FL) framework for decentralized intrusion detection in heterogeneous IoT environments is proposed, based on XGBoost boosters and uses quality-weighted server-side ensemble aggregation.

Abdulaziz A. Alsulami, Q. A. Al-Haija, Rayed A. Alakhtar et al. · 0 citations