Machine Learning Screening of COVID-19 Patients Based on X-ray Images for Imbalanced Classes. - Ilyes Mrad; Ridha Hamila; Aiman Erbad; Tahir Hamid; Rashid Mazhar; Nasser Al-Emadi (EUVIP, 2021)

Federated Learning for UAV Swarms Under Class Imbalance and Power Consumption Constraints. - Ilyes Mrad; Lutfi Samara; Alaa Awad Abdellatif; Abubakr O. Al-Abbasi; Ridha Hamila; Aiman Erbad (GLOBECOM, 2021)

Federated Learning in NOMA Networks: Convergence, Energy and Fairness-Based Design. - Ilyes Mrad; Lutfi Samara; Abubakr O. Al-Abbasi; Ridha Hamila; Aiman Erbad; Serkan Kiranyaz (PIMRC, 2022)

RL-CEALS: Reinforcement Learning for Collaborative Edge Assisted Live Streaming. - Ilyes Mrad; Emna Baccour; Ridha Hamila; Muhammad Asif Khan 001; Aiman Erbad; Mounir Hamdi (ISCC, 2023)

Joint learning and optimization for Federated Learning in NOMA-based networks. - Ilyes Mrad; Ridha Hamila; Aiman Erbad; Moncef Gabbouj (Pervasive Mob. Comput., 2023)