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Maliakel, P. J., Ilager, S., & Brandic, I. (2024). FLIGAN: Enhancing Federated Learning with Incomplete Data using GAN. In EdgeSys ’24: Proceedings of the 7th International Workshop on Edge Systems, Analytics and Networking (pp. 1–6). Association for Computing Machinery. https://doi.org/10.1145/3642968.3654813 ( reposiTUm)

Ilager, S., Balouek, D., Kaddour, S. M., & Brandic, I. (2024). Proteus: Towards Intent-driven Automated Resource Management Framework for Edge Sensor Nodes. In FlexScience’24 : Proceedings of the 14th Workshop on AI and Scientific Computing at Scale using Flexible Computing Infrastructures (pp. 1–8). Association for Computing Machinery. https://doi.org/10.1145/3659995.3660037 ( reposiTUm)

Catalfamo, A., Aral, A., Brandic, I., Deelman, E., & Villari, M. (2024). Machine Learning Workflows in the Computing Continuum for Environmental Monitoring. In Computational Science – ICCS 2024 : 24th International Conference, Malaga, Spain, July 2–4, 2024, Proceedings, Part V (pp. 368–382). Springer. https://doi.org/10.1007/978-3-031-63775-9_27 ( reposiTUm)

Kanatbekova, M., Ilager, S. S., & Brandic, I. (2024). ABBA-VSM: Time Series Classification using Symbolic Representation on the Edge. arXiv. https://doi.org/10.48550/arXiv.2410.10285 ( reposiTUm)