ON-DEMAND-FL: A Dynamic and Efficient Multi-Criteria Federated Learning Client Deployment Scheme. - Mario Chahoud; Hani Sami; Azzam Mourad; Safa Otoum; Hadi Otrok; Jamal Bentahar; Mohsen Guizani (CoRR, 2022)

Towards Trust Driven On-Demand Client Deployment in Federated Learning. - Mario Chahoud; Azzam Mourad; Hadi Otrok; Mohsen Guizani (INFOCOM Workshops, 2023)

Towards On-Demand Deployment of Multiple Clients and Heterogeneous Models in Federated Learning. - Mario Chahoud; Hani Sami; Azzam Mourad; Hadi Otrok; Jamal Bentahar; Mohsen Guizani (IWCMC, 2023)

On the feasibility of Federated Learning towards on-demand client deployment at the edge. - Mario Chahoud; Safa Otoum; Azzam Mourad (Inf. Process. Manag., 2023)

On-Demand-FL: A Dynamic and Efficient Multicriteria Federated Learning Client Deployment Scheme. - Mario Chahoud; Hani Sami; Azzam Mourad; Safa Otoum; Hadi Otrok; Jamal Bentahar; Mohsen Guizani (IEEE Internet Things J., 2023)

The Metaverse: Survey, Trends, Novel Pipeline Ecosystem & Future Directions. - Hani Sami; Ahmad Hammoud; Mohamad Arafeh; Mohamad Wazzeh; Sarhad Arisdakessian; Mario Chahoud; Osama Wehbi; Mohamad Ajaj; Azzam Mourad; Hadi Otrok; Omar Abdel Wahab 001; Rabeb Mizouni; et al. (IEEE Commun. Surv. Tutorials, 2024)

Multi-Agent Deep Reinforcement Learning for Resource Management in On-Demand Environments. - Mario Chahoud; Hani Sami; Rabeb Mizouni; Hadi Otrok; Jamal Bentahar; Azzam Mourad; Chamseddine Talhi (IWCMC, 2025)

Trust driven On-Demand scheme for client deployment in Federated Learning. - Mario Chahoud; Azzam Mourad; Hadi Otrok; Jamal Bentahar; Mohsen Guizani (Inf. Process. Manag., 2025)

Reward shaping in DRL: A novel framework for adaptive resource management in dynamic environments. - Mario Chahoud; Hani Sami; Rabeb Mizouni; Jamal Bentahar; Azzam Mourad; Hadi Otrok; Chamseddine Talhi (Inf. Sci., 2025)

On-Demand Model and Client Deployment in Federated Learning With Deep Reinforcement Learning. - Mario Chahoud; Hani Sami; Azzam Mourad; Hadi Otrok; Jamal Bentahar; Mohsen Guizani (IEEE Internet Things J., 2025)