185 citations · 275 across the 14 of their papers we have counts for
14 papers
IntAgent: NWDAF-Based Intent LLM Agent Towards Advanced Next Generation Networks
Abdelrahman Soliman, Ahmed Refaey, Aiman Erbad +1
Intent-based networks (IBNs) are gaining prominence as an innovative technology that automates network operations through high-level request statements, defining what the network s…
Federated Learning of Low-Rank One-Shot Image Detection Models in Edge Devices with Scalable Accuracy and Compute Complexity
Abdul Hannaan, Zubair Shah, Aiman Erbad +2
This paper introduces a novel federated learning framework termed LoRa-FL designed for training low-rank one-shot image detection models deployed on edge devices. By incorporating…
Efficient Resource Management for Secure and Low-Latency O-RAN Communication
Zaineh Abughazzah, Emna Baccour, Ahmed Refaey +2
Open Radio Access Networks (O-RAN) are transforming telecommunications by shifting from centralized to distributed architectures, promoting flexibility, interoperability, and innov…
A Blockchain-based Reliable Federated Meta-learning for Metaverse: A Dual Game Framework
Emna Baccour, Aiman Erbad, Amr Mohamed +2
The metaverse, envisioned as the next digital frontier for avatar-based virtual interaction, involves high-performance models. In this dynamic environment, users' tasks frequently…
Energy-Aware Service Offloading for Semantic Communications in Wireless Networks
Hassan Saadat, Abdullatif Albaseer, Mohamed Abdallah +2
Today, wireless networks are becoming responsible for serving intelligent applications, such as extended reality and metaverse, holographic telepresence, autonomous transportation,…
Zero-touch realization of Pervasive Artificial Intelligence-as-a-service in 6G networks
Emna Baccour, Mhd Saria Allahham, Aiman Erbad +3
The vision of the upcoming 6G technologies, characterized by ultra-dense network, low latency, and fast data rate is to support Pervasive AI (PAI) using zero-touch solutions enabli…
Optimal Resource Management for Hierarchical Federated Learning over HetNets with Wireless Energy Transfer
Rami Hamdi, Ahmed Ben Said, Emna Baccour +4
Remote monitoring systems analyze the environment dynamics in different smart industrial applications, such as occupational health and safety, and environmental monitoring. Specifi…
RL-DistPrivacy: Privacy-Aware Distributed Deep Inference for low latency IoT systems
Emna Baccour, Aiman Erbad, Amr Mohamed +2
Although Deep Neural Networks (DNN) have become the backbone technology of several ubiquitous applications, their deployment in resource-constrained machines, e.g., Internet of Thi…
On the Modeling of Reliability in Extreme Edge Computing Systems
Mhd Saria Allahham, Amr Mohamed, Aiman Erbad +1
Extreme edge computing (EEC) refers to the endmost part of edge computing wherein computational tasks and edge services are deployed only on extreme edge devices (EEDs). EEDs are c…
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…
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…
Motivating Learners in Multi-Orchestrator Mobile Edge Learning: A Stackelberg Game Approach
Mhd Saria Allahham, Sameh Sorour, Amr Mohamed +2
Mobile Edge Learning (MEL) is a learning paradigm that enables distributed training of Machine Learning models over heterogeneous edge devices (e.g., IoT devices). Multi-orchestrat…
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…
Pervasive AI for IoT applications: A Survey on Resource-efficient Distributed Artificial Intelligence
Emna Baccour, Naram Mhaisen, Alaa Awad Abdellatif +4
Artificial intelligence (AI) has witnessed a substantial breakthrough in a variety of Internet of Things (IoT) applications and services, spanning from recommendation systems to ro…