FILIPPINI FEDERICA

Role
Research fellow  
Academic disciplines
Informatica (INF/01)
Email
[email protected]

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

  • Tundo, A., Filippini, F., Regonesi, F., Ciavotta, M., Savi, M. (2025). Decentralized Edge Workload Forecasting With Gossip Learning. IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT, 22(4), 3016-3031 [10.1109/TNSM.2025.3570450]. 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

  • 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

  • Alloni, D., Benato, G., Carniti, P., Cataldo, M., Chen, L., Clemenza, M., et al. (2025). New dark matter direct search based on archaeological Pb. PHYSICAL REVIEW D, 111(10) [10.1103/wcvd-rk1f]. Detail

  • Filippini, F., Calmi, N., Cavenaghi, L., Petriglia, E., Savi, M., Ciavotta, M. (2024). Analysis and Evaluation of Load Management Strategies in a Decentralized FaaS Environment: A Simulation-Based Framework. In SEATED 2024 - Proceedings of the 2024 Workshop on Serverless at the Edge, Part of: HPDC 2024 - 33rd International Symposium on High-Performance Parallel and Distributed Computing (pp.1-8). ACM [10.1145/3660319.3660329]. Detail

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