FILIPPINI FEDERICA
Biography
Federica Filippini received her M.Sc. degree in Mathematical Engineering and her Ph.D. degree cum laude in Information Technology at Politecnico di Milano. She is currently a post-doc researcher at the University of Milano-Bicocca, at the Deparment of Informatics, Systems and Communication. Her research interests include optimization problems applied to resource selection and scheduling in Cloud and distributed environments in the Computing Continuum.
Publications
Filippini, F., Savi, M., Ciavotta, M. (2026). Performance modeling in FaaS workloads at the edge using machine learning. CLUSTER COMPUTING, 29(7) [10.1007/s10586-026-06233-3]. Detail
Cavadini, R., Sedghani, H., Filippini, F., Ardagna, D. (2026). Runtime Management of Artificial Intelligence Applications Through Hierarchical Reinforcement Learning. In Performance Evaluation Methodologies and Tools 17th EAI International Conference, Valuetools 2024, Milan, Italy, December 12–13, 2024, Proceedings (pp.252-273). Springer Science and Business Media Deutschland GmbH [10.1007/978-3-032-06818-7_14]. Detail
Kambale, A., Sedghani, H., Filippini, F., Verticale, G., Ardagna, D. (2026). Tabular Reinforcement Learning Methods for Artificial Intelligence Tasks Offloading in Smart Eye-Wears. ACM TRANSACTIONS ON AUTONOMOUS AND ADAPTIVE SYSTEMS, 21(1), 1-38 [10.1145/3771092]. Detail
Filippini, F., Lujak, M., Ciavotta, M. (2026). Distributed replica allocation and load balancing for Edge–Cloud FaaS: A cooperative multi-agent orchestration approach. JOURNAL OF SYSTEMS ARCHITECTURE, 176(July 2026), 1-28 [10.1016/j.sysarc.2026.103787]. Detail
Filippini, F. (2025). Resource Allocation and Scheduling Problems in Computing Continua for Artificial Intelligence Applications. In S. Garatti (a cura di), Special Topics in Information Technology (pp. 33-42). Springer [10.1007/978-3-031-80268-3_4]. Detail