Hani Sami

According to our database, Hani Sami authored at least 22 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Efficient privacy-preserving ML for IoT: Cluster-based split federated learning scheme for non-IID data.

Mohamad Arafeh, Mohamad Wazzeh, Hani Sami, Hakima Ould-Slimane, Chamseddine Talhi, Azzam Mourad, Hadi Otrok

J. Netw. Comput. Appl., 2025

2024

LearnChain: Transparent and cooperative reinforcement learning on Blockchain.

Hani Sami, Rabeb Mizouni, Hadi Otrok, Shakti Singh, Jamal Bentahar, Azzam Mourad

Future Gener. Comput. Syst., January, 2024

CRSFL: Cluster-based Resource-aware Split Federated Learning for Continuous Authentication.

Mohamad Wazzeh, Mohamad Arafeh, Hani Sami, Hakima Ould-Slimane, Chamseddine Talhi, Azzam Mourad, Hadi Otrok

J. Netw. Comput. Appl., 2024

A Survey on Large Language Models for Communication, Network, and Service Management: Application Insights, Challenges, and Future Directions.

Gordon Owusu Boateng, Hani Sami, Ahmed Alagha, Hanae Elmekki, Ahmad Hammoud, Rabeb Mizouni, Azzam Mourad, Hadi Otrok, Jamal Bentahar, Sami Muhaidat, Chamseddine Talhi, Zbigniew Dziong, Mohsen Guizani

CoRR, 2024

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

CoRR, 2024

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, Rabeb Mizouni, Jamal Bentahar, Chamseddine Talhi, Zbigniew Dziong, Ernesto Damiani, Mohsen Guizani

IEEE Commun. Surv. Tutorials, 2024

2023

Reward shaping using convolutional neural network.

Hani Sami, Hadi Otrok, Jamal Bentahar, Azzam Mourad, Ernesto Damiani

Inf. Sci., November, 2023

Opportunistic UAV Deployment for Intelligent On-Demand IoV Service Management.

Hani Sami, Reem Saado, Ahmad El Saoudi, Azzam Mourad, Hadi Otrok, Jamal Bentahar

IEEE Trans. Netw. Serv. Manag., September, 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., September, 2023

Reinforcement Learning Framework for Server Placement and Workload Allocation in Multiaccess Edge Computing.

Anahita Mazloomi, Hani Sami, Jamal Bentahar, Hadi Otrok, Azzam Mourad

IEEE Internet Things J., January, 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

Proceedings of the International Wireless Communications and Mobile Computing, 2023

2022

Demand-Driven Deep Reinforcement Learning for Scalable Fog and Service Placement.

Hani Sami, Azzam Mourad, Hadi Otrok, Jamal Bentahar

IEEE Trans. Serv. Comput., 2022

Graph convolutional recurrent networks for reward shaping in reinforcement learning.

Hani Sami, Jamal Bentahar, Azzam Mourad, Hadi Otrok, Ernesto Damiani

Inf. Sci., 2022

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

Reinforcement Learning Framework for Server Placement and Workload Allocation in Multi-Access Edge Computing.

Anahita Mazloomi, Hani Sami, Jamal Bentahar, Hadi Otrok, Azzam Mourad

CoRR, 2022

2021

AI-Based Resource Provisioning of IoE Services in 6G: A Deep Reinforcement Learning Approach.

Hani Sami, Hadi Otrok, Jamal Bentahar, Azzam Mourad

IEEE Trans. Netw. Serv. Manag., 2021

2020

Vehicular-OBUs-As-On-Demand-Fogs: Resource and Context Aware Deployment of Containerized Micro-Services.

Hani Sami, Azzam Mourad, Wassim El-Hajj

IEEE/ACM Trans. Netw., 2020

Dynamic On-Demand Fog Formation Offering On-the-Fly IoT Service Deployment.

Hani Sami, Azzam Mourad

IEEE Trans. Netw. Serv. Manag., 2020

Reinforcement R-learning model for time scheduling of on-demand fog placement.

Peter Farhat, Hani Sami, Azzam Mourad

J. Supercomput., 2020

AI, Blockchain, and Vehicular Edge Computing for Smart and Secure IoV: Challenges and Directions.

Ahmad Hammoud, Hani Sami, Azzam Mourad, Hadi Otrok, Rabeb Mizouni, Jamal Bentahar

IEEE Internet Things Mag., 2020

FScaler: Automatic Resource Scaling of Containers in Fog Clusters Using Reinforcement Learning.

Hani Sami, Azzam Mourad, Hadi Otrok, Jamal Bentahar

Proceedings of the 16th International Wireless Communications and Mobile Computing Conference, 2020

2019

On The Use of Software Defined Wireless Network in Vehicular Fog Computing Environments.

Joseph Khoury, Hani Sami, Haïdar Safa, Wassim El-Hajj

Proceedings of the 15th International Wireless Communications & Mobile Computing Conference, 2019