An Energy-Aware Multi-Criteria Federated Learning Model for Edge Computing. - Ahmed Abbas Mohsin Al-Saedi; Emiliano Casalicchio; Veselka Boeva (FiCloud, 2021)

Reducing Communication Overhead of Federated Learning through Clustering Analysis. - Ahmed Abbas Mohsin Al-Saedi; Veselka Boeva; Emiliano Casalicchio (ISCC, 2021)

Distributed and Adaptive Edge-based AI Models for Sensor Networks (DAISeN). - Veselka Boeva; Emiliano Casalicchio; Shahrooz Abghari; Ahmed Abbas Mohsin Al-Saedi; Vishnu Manasa Devagiri; Andrej Petef; Peter Exner; Anders Isberg; Mirza Jasarevic (FedCSIS (Position Papers), 2022)

FedCO: Communication-Efficient Federated Learning via Clustering Optimization. - Ahmed Abbas Mohsin Al-Saedi; Veselka Boeva; Emiliano Casalicchio (Future Internet, 2022)

Context-Aware Edge-Based AI Models for Wireless Sensor Networks - An Overview. - Ahmed Abbas Mohsin Al-Saedi; Veselka Boeva; Emiliano Casalicchio; Peter Exner (Sensors, 2022)

Group-Personalized Federated Learning for Human Activity Recognition Through Cluster Eccentricity Analysis. - Ahmed Abbas Mohsin Al-Saedi; Veselka Boeva (EANN, 2023)

Resource-Aware and Personalized Federated Learning via Clustering Analysis. - Ahmed Abbas Mohsin Al-Saedi (2024)

ADF-SL: An Adaptive and Fair Scheme for Smart Learning Task Distribution. - Ahmed Abbas Mohsin Al-Saedi; Veselka Boeva (IEEE Access, 2025)

Contribution prediction in federated learning via client behavior evaluation. - Ahmed Abbas Mohsin Al-Saedi; Veselka Boeva; Emiliano Casalicchio (Future Gener. Comput. Syst., 2025)