Intelligent Model Aggregation in Hierarchical Clustered Federated Multitask Learning. - Moqbel Hamood; Abdullatif Albaseer; Mohamed M. Abdallah 001; Ala I. Al-Fuqaha; Amr Mohamed 001 (GLOBECOM, 2023)

Clustered and Multi-Tasked Federated Distillation for Heterogeneous and Resource Constrained Industrial IoT Applications. - Moqbel Hamood; Abdullatif Albaseer; Mohamed M. Abdallah 001; Ala I. Al-Fuqaha (IEEE Internet Things Mag., 2023)

Adaptive Honeypot Defense Deployment: A Stackelberg Game Approach with Decentralized DRL for AMI Protection. - Abdullatif Albaseer; Moqbel Hamood; Mohamed M. Abdallah 001 (ICNC, 2024)

Empowering HWNs with Efficient Data Labeling: A Clustered Federated Semi-Supervised Learning Approach. - Moqbel Hamood; Abdullatif Albaseer; Mohamed M. Abdallah 001; Ala I. Al-Fuqaha (WCNC, 2024)

Optimized Federated Multitask Learning in Mobile Edge Networks: A Hybrid Client Selection and Model Aggregation Approach. - Moqbel Hamood; Abdullatif Albaseer; Mohamed M. Abdallah 001; Ala I. Al-Fuqaha; Amr Mohamed 001 (IEEE Trans. Veh. Technol., 2024)

Efficient Data Labeling and Optimal Device Scheduling in HWNs Using Clustered Federated Semi-Supervised Learning. - Moqbel Hamood; Abdullatif Albaseer; Mohamed Abdallah 001; Ala I. Al-Fuqaha (IEEE Trans. Commun., 2025)