activity
20222024
most citedOptimal Resource Management for Hierarchical Federated Learning over HetNets with Wireless Energy Transfer

30 citations · 85 across the 5 of their papers we have counts for

collaborators

5 papers

cs.DC202412 cited

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…

cs.AI2023

Adaptive ResNet Architecture for Distributed Inference in Resource-Constrained IoT Systems

Fazeela Mazhar Khan, Emna Baccour, Aiman Erbad +1

As deep neural networks continue to expand and become more complex, most edge devices are unable to handle their extensive processing requirements. Therefore, the concept of distri…

cs.AI202326 cited

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…

cs.NI202330 cited

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…

cs.LG202217 cited

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…