Complexity-Performance Trade-offs in Robust Access Point Clustering for Edge Computing. - Nour-El-Houda Yellas; Selma Boumerdassi; Alberto Ceselli; Stefano Secci (DRCN, 2021)

An Open Dataset for Beyond-5G Data-driven Network Automation Experiments. - Chi-Dung Phung; Nour-El-Houda Yellas; Salah Bin Ruba; Stefano Secci (6GNet, 2022)

Anomaly Detection for 5G Softwarized Infrastructures with Federated Learning. - Salah Bin Ruba; Nour-El-Houda Yellas; Stefano Secci (6GNet, 2022)

Function Placement and Acceleration for In-Network Federated Learning Services. - Nour-El-Houda Yellas; Bernardetta Addis; Roberto Riggio; Stefano Secci (CNSM, 2022)

Robust Access Point Clustering in Edge Computing Resource Optimization. - Nour-El-Houda Yellas; Selma Boumerdassi; Alberto Ceselli; Bilal Maaz; Stefano Secci (IEEE Trans. Netw. Serv. Manag., 2022)

Optimisation multi-critères de l'allocation des ressources de calcul à la bordure du réseau. (Multi-criteria optimization for resource allocation in multi-access edge computing). - Nour-El-Houda Yellas (2023)

Data Pipeline System Designs for In-network Learning. - Patient Ntumba; Nour-El-Houda Yellas; Salah Bin Ruba; Fehmi Ben Abdesslem; Stefano Secci (CNSM, 2024)

Grubbs Test Based Algorithms to Improve the Efficiency of Blockchain Oracles. - Nour-El-Houda Yellas; Éric Renault; Selma Boumerdassi (IWCMC, 2024)

Residence Time Aware Client Selection in Federated Learning in Vehicular Network. - Selman Sezgin; Kahina Mokrani; Sylvain Allio; Nour-El-Houda Yellas (NOMS, 2024)

Network Slice Robustness with Function Sets. - Nour-El-Houda Yellas; Jeongku Choi; Prosper Chemouil; Stefano Secci; Deep Medhi (NOMS, 2024)

Function Placement for In-network Federated Learning. - Nour-El-Houda Yellas; Bernardetta Addis; Selma Boumerdassi; Roberto Riggio; Stefano Secci (Comput. Networks, 2025)