Publications

Scientific publications and research documents of the SPIREC project.

2025

A Novel Adaptive Hybrid AI Deployment for Virtual Try-On Applications in 5G-Edge Networks
Authors: Hamza Kchok, Ilhem Fajjari, Faten Chaieb-Chakchouk, Nadjib Aitsaadi, Abdelhak Mourad Gueroui, Richard Li
IEEE International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems - MSWIM 2025, Barcelona, Spain, October 27-31, 2025 (Paper not yet available in IEEE Xplore.)
Conference

LLM-Driven Causal Discovery for Monitoring Metrics in Computing Continuum Systems: A Comparative Study
Authors: Ahmad Atwi, Abdelkader Lahmadi
2025 IEEE 50th Conference on Local Computer Networks (LCN), Sydney, Australia, October 2025, pp. 1-8
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Declarative, Generic Definition and Effective Implementation of Transfer Learning Algorithms
Authors: Tayeb Diab, Mohamed Graiet, Mario Sudholt
Artificial Intelligence Applications and Innovations (AIAI 2025, Proceedings Part II), IFIP AICT Vol. 756, Springer Cham, pp. 111-125
DOI

A Novel Multi-User Deep-Learning Offloading Scheme for Virtual Try-On in 5G-Edge Networks
Authors: Hamza Kchok, Ilhem Fajjari, Faten Chaieb, Nadjib Aitsaadi, Mourad Gueroui, Richard Li
IEEE International Conference on Communications (ICC) 2025, Montreal, Canada, June 8-12, 2025, pp. 2797-2802
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A Novel Lightweight Deep-Learning Offloading Scheme for Try-On in 5G-Edge Network
Authors: Hamza Kchok, Ilhem Fajjari, Faten Chaieb, Nadjib Aitsaadi, Mourad Gueroui, Richard Li
IEEE International Conference on Communications (ICC) 2025, Montreal, Canada, June 8-12, 2025, pp. 1494-1499
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Deep Learning on Network Traffic Prediction: Recent Advances, Analysis, and Future Directions
Authors: Ons Aouedi, Van An Le, Kandaraj Piamrat, Yusheng Ji
ACM Computing Surveys, Vol. 57, No. 6 (June 2025), Article 151, 37 pages
DOI

Federated Learning in Mobile Networks: A Comprehensive Case Study on Traffic Forecasting
Authors: Nikolaos Pavlidis, Vasileios Perifanis, Selim F. Yilmaz, Francesc Wilhelmi, Marco Miozzo, Pavlos S. Efraimidis, Remous-Aris Koutsiamanis, Pavol Mulinka, Paolo Dini
IEEE Transactions on Sustainable Computing, Vol. 10, No. 3, pp. 576-587
DOI

2024

CATS: Contrastive learning for Anomaly detection in Time Series
Authors: Joël Roman Ky, Bertrand Mathieu, Abdelkader Lahmadi, Raouf Boutaba
2024 IEEE International Conference on Big Data (BigData), pp. 1352-1359
DOI