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ORCIDMhd Saria Allahham
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2020 – today
- 2023
[j5]Emna Baccour, Mhd Saria Allahham, Aiman Erbad, Amr Mohamed, Ahmed Refaey Hussein, Mounir Hamdi:
Zero Touch Realization of Pervasive Artificial Intelligence as a Service in 6G Networks. IEEE Commun. Mag. 61(2): 110-116 (2023)- [c9]Alaa Awad Abdellatif, Mhd Saria Allahham, Noor Khial, Amr Mohamed, Aiman Erbad, Khaled B. Shaban:
Reliable Federated Learning for Age Sensitive Mobile Edge Computing Systems. ICC 2023: 1622-1627 - [i5]Emna Baccour, Mhd Saria Allahham, Aiman Erbad, Amr Mohamed, Ahmed Refaey Hussein, Mounir Hamdi:
Zero-touch realization of Pervasive Artificial Intelligence-as-a-service in 6G networks. CoRR abs/2307.11468 (2023) - 2022
- [j4]Mhd Saria Allahham
, Alaa Awad Abdellatif, Naram Mhaisen, Amr Mohamed, Aiman Erbad, Mohsen Guizani:
Multi-Agent Reinforcement Learning for Network Selection and Resource Allocation in Heterogeneous Multi-RAT Networks. IEEE Trans. Cogn. Commun. Netw. 8(2): 1287-1300 (2022) - [j3]Naram Mhaisen, Mhd Saria Allahham, Amr Mohamed, Aiman Erbad, Mohsen Guizani:
On Designing Smart Agents for Service Provisioning in Blockchain-Powered Systems. IEEE Trans. Netw. Sci. Eng. 9(2): 401-415 (2022) - [c8]Mhd Saria Allahham, Amr Mohamed, Aiman Erbad, Hossam S. Hassanein:
On the Modeling of Reliability in Extreme Edge Computing Systems. ICCSPA 2022: 1-6 - [c7]Hassan Saadat, Mhd Saria Allahham, Alaa Awad Abdellatif, Aiman Erbad, Amr Mohamed:
RL-Assisted Energy-Aware User-Edge Association for IoT-based Hierarchical Federated Learning. IWCMC 2022: 548-553 - [c6]Mhd Saria Allahham, Amr Mohamed, Hossam S. Hassanein:
Incentive-based Resource Allocation for Mobile Edge Learning. LCN 2022: 157-164 - [i4]Mhd Saria Allahham, Alaa Awad Abdellatif, Naram Mhaisen, Amr Mohamed, Aiman Erbad, Mohsen Guizani:
Multi-Agent Reinforcement Learning for Network Selection and Resource Allocation in Heterogeneous multi-RAT Networks. CoRR abs/2202.10308 (2022) - [i3]Mhd Saria Allahham, Amr Mohamed, Aiman Erbad, Hossam S. Hassanein:
On the Modeling of Reliability in Extreme Edge Computing Systems. CoRR abs/2208.05817 (2022) - 2021
- [j2]Yahuza Bello, Alaa Awad Abdellatif, Mhd Saria Allahham, Ahmed Refaey Hussein, Aiman Erbad, Amr Mohamed, Mohsen Guizani:
B5G: Predictive Container Auto-Scaling for Cellular Evolved Packet Core. IEEE Access 9: 158204-158214 (2021) - [j1]Mhd Saria Allahham, Alaa Awad Abdellatif, Amr Mohamed, Aiman Erbad, Elias Yaacoub, Mohsen Guizani:
I-SEE: Intelligent, Secure, and Energy-Efficient Techniques for Medical Data Transmission Using Deep Reinforcement Learning. IEEE Internet Things J. 8(8): 6454-6468 (2021) - [c5]Mhd Saria Allahham, Sameh Sorour, Amr Mohamed, Aiman Erbad, Mohsen Guizani:
Energy-Efficient Device Assignment and Task Allocation in Multi-Orchestrator Mobile Edge Learning. GLOBECOM 2021: 1-6 - [c4]Heba D. M. Dawoud, Mhd Saria Allahham, Alaa Awad Abdellatif, Amr Mohamed, Aiman Erbad, Mohsen Guizani:
Patient-Driven Network Selection in multi-RAT Health Systems Using Deep Reinforcement Learning. GLOBECOM 2021: 1-6 - [c3]Alaa Awad Abdellatif, Mhd Saria Allahham, Amr Mohamed, Aiman Erbad, Mohsen Guizani:
ONSRA: an Optimal Network Selection and Resource Allocation Framework in multi-RAT Systems. ICC 2021: 1-6 - [c2]Yahuza Bello, Mhd Saria Allahham, Ahmed Refaey, Aiman Erbad, Amr Mohamed, Nabil Abdennadher:
B5G: Predictive Container Auto-Scaling for Cellular Evolved Packet Core. ICC Workshops 2021: 1-7 - [i2]Mhd Saria Allahham, Sameh Sorour, Amr Mohamed, Aiman Erbad, Mohsen Guizani:
Energy-Efficient Multi-Orchestrator Mobile Edge Learning. CoRR abs/2109.00757 (2021) - [i1]Mhd Saria Allahham, Sameh Sorour, Amr Mohamed, Aiman Erbad, Mohsen Guizani:
Motivating Learners in Multi-Orchestrator Mobile Edge Learning: A Stackelberg Game Approach. CoRR abs/2109.12409 (2021) - 2020
- [c1]Mhd Saria Allahham, Tamer Khattab, Amr Mohamed:
Deep Learning for RF-Based Drone Detection and Identification: A Multi-Channel 1-D Convolutional Neural Networks Approach. ICIoT 2020: 112-117
Coauthor Index
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