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., 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
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
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
Filippini, F., Cavenaghi, L., Calmi, N., Savi, M., Ciavotta, M. (2025). ML-Based Performance Modeling in Edge FaaS Systems. In Service-Oriented and Cloud Computing 11th IFIP WG 6.12 European Conference, ESOCC 2025, Bolzano, Italy, February 20–21, 2025, Proceedings (pp.112-127). Springer Science and Business Media Deutschland GmbH [10.1007/978-3-031-84617-5_10]. Detail
Petriglia, E., Filippini, F., Ciavotta, M., Savi, M. (2025). Multi-Agent Reinforcement Learning for Workload Distribution in FaaS-Edge Computing Systems. In 2025 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW) (pp.1128-1131). IEEE [10.1109/IPDPSW66978.2025.00176]. Detail