26 citations · 49 across the 21 of their papers we have counts for
5 papers · 1 filter
OCD-FL: A Novel Communication-Efficient Peer Selection-based Decentralized Federated Learning
Nizar Masmoudi, Wael Jaafar
The conjunction of edge intelligence and the ever-growing Internet-of-Things (IoT) network heralds a new era of collaborative machine learning, with federated learning (FL) emergin…
Towards Reliable Participation in UAV-Enabled Federated Edge Learning on Non-IID Data
Youssra Cheriguene, Wael Jaafar, Halim Yanikomeroglu +1
Federated Learning (FL) is a decentralized machine learning (ML) technique that allows a number of participants to train an ML model collaboratively without having to share their p…
Data-Efficient Energy-Aware Participant Selection for UAV-Enabled Federated Learning
Youssra Cheriguene, Wael Jaafar, Chaker Abdelaziz Kerrache +3
Unmanned aerial vehicle (UAV)-enabled edge federated learning (FL) has sparked a rise in research interest as a result of the massive and heterogeneous data collected by UAVs, as w…
Multi-UAV Speed Control with Collision Avoidance and Handover-aware Cell Association: DRL with Action Branching
Zijiang Yan, Wael Jaafar, Bassant Selim +1
This paper presents a deep reinforcement learning solution for optimizing multi-UAV cell-association decisions and their moving velocity on a 3D aerial highway. The objective is to…
On the Design of Communication-Efficient Federated Learning for Health Monitoring
Dong Chu, Wael Jaafar, Halim Yanikomeroglu
With the booming deployment of Internet of Things, health monitoring applications have gradually prospered. Within the recent COVID-19 pandemic situation, interest in permanent rem…