Ahmed Al-Saedi

Ahmed Al-Saedi

Ahmed holds a bachelor’s degree in computer science from Al-Mustansiriyah University, Iraq, and a master’s degree in computer science in information and communication systems from TU Kaiserslautern (TUK), Germany. His current research interests include federated learning, swarm learning, and Edge AI.

Projects & Publications

Recent publications
Ahmed Abbas Mohsin Al-Saedi, Veselka Boeva, Emiliano Casalicchio, "Contribution Prediction in Federated Learning via Client Behavior Evaluation", Future Generation Computer Systems, ISSN 0167-739X, EISSN 1872-7115, Vol. 166, Elsevier, 2025
Ahmed Abbas Mohsin Al-Saedi, "Resource-Aware and Personalized Federated Learning via Clustering Analysis", Blekinge Institute of Technology Doctoral Dissertation Series, ISSN 1653-2090, EISSN 12153, EISSN 2024:04, Blekinge Tekniska Högskola, 2024
Emiliano Casalicchio, Simone Esposito, Ahmed Abbas Mohsin Al-Saedi, "FLWB", 2023 IEEE International Workshop on Technologies for Defense and Security, TechDefense 2023 - Proceedings, Institute of Electrical and Electronics Engineers (IEEE), 2023
Ahmed Abbas Mohsin Al-Saedi, Veselka Boeva, "Group-Personalized Federated Learning for Human Activity Recognition Through Cluster Eccentricity Analysis", Communications in Computer and Information Science (CCIS), ISSN 1865-0929, EISSN 1865-0937, EISSN 1826, Engineering Applications of Neural Networks, Springer Science+Business Media B.V., 2023
Ahmed Abbas Mohsin Al-Saedi, Veselka Boeva, Emiliano Casalicchio, Peter Exner, "Context-Aware Edge-Based AI Models for Wireless Sensor Networks-An Overview", Sensors, EISSN 1424-8220, Vol. 22, nr 15, MDPI, 2022