activity
20212026
most citedClient Selection in Federated Learning based on Gradients Importance

4 citations · 6 across the 11 of their papers we have counts for

collaborators

11 papers

cs.NI2026

Orientation-Aware Control and Trajectory Design for Aerial RIS-Assisted Wireless Communications

Abdoul Karim A. H. Saliah, Hajar El Hammouti, Daniel Bonilla Licea +1

Aerial Reconfigurable Intelligent Surfaces (ARISs) can enhance wireless connectivity in obstructed environments by combining reconfigurable metasurfaces with aerial mobility. Howev…

cs.RO2026

3D Euler-Angle Orientation Control for Two-Ray Fading Mitigation in Maritime Air-to-Sea Communications

Mohammed Bajja, Abdoul Karim A. H. Saliah, Hajar El Hammouti +2

Maritime Air-to-Sea links are dominated by a line-of-sight ray and a sea-surface reflected ray whose destructive combination produces deep fades. Existing mitigation strategies opt…

cs.RO2026

Semantic-Aware UAV Command and Control for Efficient IoT Data Collection

Assane Sankara, Daniel Bonilla Licea, Hajar El Hammouti

Unmanned Aerial Vehicles (UAVs) have emerged as a key enabler technology for data collection from Internet of Things (IoT) devices. However, effective data collection is challenged…

eess.SP2024

Energy Efficient Aerial RIS: Phase Shift Optimization and Trajectory Design

Hajar El Hammouti, Adnane Saoud, Asma Ennahkami +1

Reconfigurable Intelligent Surface (RIS) technology has gained significant attention due to its ability to enhance the performance of wireless communication systems. The main advan…

cs.IT2024

Semantic-Aware Resource Allocation in Constrained Networks with Limited User Participation

Ouiame Marnissi, Hajar EL Hammouti, El Houcine Bergou

Semantic communication has gained attention as a key enabler for intelligent and context-aware communication. However, one of the key challenges of semantic communications is the n…

cs.LG2024

Joint Probability Selection and Power Allocation for Federated Learning

Ouiame Marnissi, Hajar EL Hammouti, El Houcine Bergou

In this paper, we study the performance of federated learning over wireless networks, where devices with a limited energy budget train a machine learning model. The federated learn…

math.OC2023

Age-of-Information in UAV-assisted Networks: a Decentralized Multi-Agent Optimization

Mouhamed Naby Ndiaye, El Houcine Bergou, Hajar El Hammouti

Unmanned aerial vehicles (UAVs) are a highly promising technology with diverse applications in wireless networks. One of their primary uses is the collection of time-sensitive data…

math.OC2023

Ensemble DNN for Age-of-Information Minimization in UAV-assisted Networks

Mouhamed Naby Ndiaye, El Houcine Bergou, Hajar El Hammouti

This paper addresses the problem of Age-of-Information (AoI) in UAV-assisted networks. Our objective is to minimize the expected AoI across devices by optimizing UAVs' stopping loc…

math.OC2023

Muti-Agent Proximal Policy Optimization For Data Freshness in UAV-assisted Networks

Mouhamed Naby Ndiaye, El Houcine Bergou, Hajar El Hammouti

Unmanned aerial vehicles (UAVs) are seen as a promising technology to perform a wide range of tasks in wireless communication networks. In this work, we consider the deployment of…

cs.LG2021★ 4 cited

Client Selection in Federated Learning based on Gradients Importance

Ouiame Marnissi, Hajar El Hammouti, El Houcine Bergou

Federated learning (FL) enables multiple devices to collaboratively learn a global model without sharing their personal data. In real-world applications, the different parties are…

cs.NI2021★ 2 cited

Multi-sided Matching for the Association of Space-Air-Ground Integrated Systems

Abdoul Karim A. H. Saliah, Doha Hamza, Hajar El Hammouti +2

Space-air-ground integrated networks (SAGINs) will play a pivotal role in 6G communication systems. They are considered a promising technology for enhancing network capacity in den…