Mhd Saria Allahham

According to our database, Mhd Saria Allahham authored at least 16 papers between 2020 and 2023.

Collaborative distances:

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

2023

Zero Touch Realization of Pervasive Artificial Intelligence as a Service in 6G Networks.

Emna Baccour, Mhd Saria Allahham, Aiman Erbad, Amr Mohamed, Ahmed Refaey Hussein, Mounir Hamdi

IEEE Commun. Mag., February, 2023

Reliable Federated Learning for Age Sensitive Mobile Edge Computing Systems.

Alaa Awad Abdellatif, Mhd Saria Allahham, Noor Khial, Amr Mohamed, Aiman Erbad, Khaled B. Shaban

Proceedings of the IEEE International Conference on Communications, 2023

2022

On Designing Smart Agents for Service Provisioning in Blockchain-Powered Systems.

Naram Mhaisen, Mhd Saria Allahham, Amr Mohamed, Aiman Erbad, Mohsen Guizani

IEEE Trans. Netw. Sci. Eng., 2022

Multi-Agent Reinforcement Learning for Network Selection and Resource Allocation in Heterogeneous Multi-RAT Networks.

Mhd Saria Allahham, Alaa Awad Abdellatif, Naram Mhaisen, Amr Mohamed, Aiman Erbad, Mohsen Guizani

IEEE Trans. Cogn. Commun. Netw., 2022

Incentive-based Resource Allocation for Mobile Edge Learning.

Mhd Saria Allahham, Amr Mohamed, Hossam S. Hassanein

Proceedings of the 47th IEEE Conference on Local Computer Networks, 2022

RL-Assisted Energy-Aware User-Edge Association for IoT-based Hierarchical Federated Learning.

Hassan Saadat, Mhd Saria Allahham, Alaa Awad Abdellatif, Aiman Erbad, Amr Mohamed

Proceedings of the 2022 International Wireless Communications and Mobile Computing, 2022

On the Modeling of Reliability in Extreme Edge Computing Systems.

Mhd Saria Allahham, Amr Mohamed, Aiman Erbad, Hossam S. Hassanein

Proceedings of the 5th International Conference on Communications, 2022

2021

I-SEE: Intelligent, Secure, and Energy-Efficient Techniques for Medical Data Transmission Using Deep Reinforcement Learning.

Mhd Saria Allahham, Alaa Awad Abdellatif, Amr Mohamed, Aiman Erbad, Elias Yaacoub, Mohsen Guizani

IEEE Internet Things J., 2021

Motivating Learners in Multi-Orchestrator Mobile Edge Learning: A Stackelberg Game Approach.

Mhd Saria Allahham, Sameh Sorour, Amr Mohamed, Aiman Erbad, Mohsen Guizani

CoRR, 2021

Energy-Efficient Multi-Orchestrator Mobile Edge Learning.

Mhd Saria Allahham, Sameh Sorour, Amr Mohamed, Aiman Erbad, Mohsen Guizani

CoRR, 2021

B5G: Predictive Container Auto-Scaling for Cellular Evolved Packet Core.

Yahuza Bello, Alaa Awad Abdellatif, Mhd Saria Allahham, Ahmed Refaey Hussein, Aiman Erbad, Amr Mohamed, Mohsen Guizani

IEEE Access, 2021

B5G: Predictive Container Auto-Scaling for Cellular Evolved Packet Core.

Yahuza Bello, Mhd Saria Allahham, Ahmed Refaey, Aiman Erbad, Amr Mohamed, Nabil Abdennadher

Proceedings of the IEEE International Conference on Communications Workshops, 2021

ONSRA: an Optimal Network Selection and Resource Allocation Framework in multi-RAT Systems.

Alaa Awad Abdellatif, Mhd Saria Allahham, Amr Mohamed, Aiman Erbad, Mohsen Guizani

Proceedings of the ICC 2021, 2021

Patient-Driven Network Selection in multi-RAT Health Systems Using Deep Reinforcement Learning.

Heba D. M. Dawoud, Mhd Saria Allahham, Alaa Awad Abdellatif, Amr Mohamed, Aiman Erbad, Mohsen Guizani

Proceedings of the IEEE Global Communications Conference, 2021

Energy-Efficient Device Assignment and Task Allocation in Multi-Orchestrator Mobile Edge Learning.

Mhd Saria Allahham, Sameh Sorour, Amr Mohamed, Aiman Erbad, Mohsen Guizani

Proceedings of the IEEE Global Communications Conference, 2021

2020

Deep Learning for RF-Based Drone Detection and Identification: A Multi-Channel 1-D Convolutional Neural Networks Approach.

Mhd Saria Allahham, Tamer Khattab, Amr Mohamed

Proceedings of the IEEE International Conference on Informatics, 2020