275 citations · 1k across the 26 of their papers we have counts for
31 papers
Multi-Agent Reinforcement Learning for Network Selection and Resource Allocation in Heterogeneous multi-RAT Networks
Mhd Saria Allahham, Alaa Awad Abdellatif, Naram Mhaisen +3
The rapid production of mobile devices along with the wireless applications boom is continuing to evolve daily. This motivates the exploitation of wireless spectrum using multiple…
LoRa-RL: Deep Reinforcement Learning for Resource Management in Hybrid Energy LoRa Wireless Networks
Rami Hamdi, Emna Baccour, Aiman Erbad +2
LoRa wireless networks are considered as a key enabling technology for next generation internet of things (IoT) systems. New IoT deployments (e.g., smart city scenarios) can have t…
Energy-Efficient Multi-Orchestrator Mobile Edge Learning
Mhd Saria Allahham, Sameh Sorour, Amr Mohamed +2
Mobile Edge Learning (MEL) is a collaborative learning paradigm that features distributed training of Machine Learning (ML) models over edge devices (e.g., IoT devices). In MEL, po…
Federated Learning for UAV Swarms Under Class Imbalance and Power Consumption Constraints
Ilyes Mrad, Lutfi Samara, Alaa Awad Abdellatif +3
The usage of unmanned aerial vehicles (UAVs) in civil and military applications continues to increase due to the numerous advantages that they provide over conventional approaches.…
Client Selection Approach in Support of Clustered Federated Learning over Wireless Edge Networks
Abdullatif Albaseer, Mohamed Abdallah, Ala Al-Fuqaha +1
Clustered Federated Multitask Learning (CFL) was introduced as an efficient scheme to obtain reliable specialized models when data is imbalanced and distributed in a non-i.i.d. (no…
Reinforcement Learning for Intelligent Healthcare Systems: A Comprehensive Survey
Alaa Awad Abdellatif, Naram Mhaisen, Zina Chkirbene +3
The rapid increase in the percentage of chronic disease patients along with the recent pandemic pose immediate threats on healthcare expenditure and elevate causes of death. This c…