Ahmed Al-Saedi : BTH

Ahmed Al-Saedi

Doktorand

ahmed.a.al-saedi@bth.se

Institutionen för datavetenskap, Rum J3116

Ahmed har en kandidatexamen i datavetenskap från Al-Mustansiriyah University, Irak, och en magisterexamen i datavetenskap i informations- och kommunikationssystem från TU Kaiserslautern (TUK), Tyskland.
Hans nuvarande forskning intressen inkluderar federerat lärande, svärm inlärning och Edge AI.

Projekt och publikationer

Nyligen publicerat
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
Ahmed Abbas Mohsin Al-Saedi, Veselka Boeva, Emiliano Casalicchio, "FedCO", Future Internet, EISSN 1999-5903, Vol. 14, nr 12, MDPI, 2022