Federica Filippini

According to our database, Federica Filippini authored at least 32 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Tabular Reinforcement Learning Methods for Artificial Intelligence Tasks Offloading in Smart Eye-Wears.

Abednego Wamuhindo Kambale, Hamta Sedghani, Federica Filippini, Giacomo Verticale, Danilo Ardagna

ACM Trans. Auton. Adapt. Syst., March, 2026

Distributed replica allocation and load balancing for Edge-Cloud FaaS.

Federica Filippini, Marin Lujak, Michele Ciavotta

J. Syst. Archit., 2026

Optimizing Agentic AI Applications Under Budget Constraints.

Hamta Sedghani, Federica Filippini, Zahra Seyedi, Blerina Spahiu, Michele Ciavotta, Danilo Ardagna

Proceedings of the Companion of the 17th ACM/SPEC International Conference on Performance Engineering, 2026

2025

Decentralized Edge Workload Forecasting With Gossip Learning.

Alessandro Tundo, Federica Filippini, Francesco Regonesi, Michele Ciavotta, Marco Savi

IEEE Trans. Netw. Serv. Manag., August, 2025

SPACE4AI-R: AI Applications Runtime Resource Management in the Computing Continuum - data and experimental results.

Federica Filippini, Hamta Sedghani, Danilo Ardagna

Dataset, May, 2025

OSCAR-P and aMLLibrary: Profiling and predicting the performance of FaaS-based applications in computing continua.

Roberto Sala, Bruno Guindani, Enrico Galimberti, Federica Filippini, Hamta Sedghani, Danilo Ardagna, Sebastián Risco, Germán Moltó, Miguel Caballer

J. Syst. Softw., 2025

Federated Reinforcement Learning for Runtime Optimization of AI Applications in Smart Eyewears.

Hamta Sedghani, Abednego Wamuhindo Kambale, Federica Filippini, Francesca Palermo, Diana Trojaniello, Danilo Ardagna

Proceedings of the 33rd International Symposium on Modeling, 2025

Multi-Agent Reinforcement Learning for Workload Distribution in FaaS-Edge Computing Systems.

Emanuele Petriglia, Federica Filippini, Michele Ciavotta, Marco Savi

Proceedings of the 2025 IEEE International Parallel and Distributed Processing Symposium, 2025

ML-Based Performance Modeling in Edge FaaS Systems.

Federica Filippini, Luca Cavenaghi, Nicolas Calmi, Marco Savi, Michele Ciavotta

Proceedings of the Service-Oriented and Cloud Computing, 2025

2024

SPACE4AI-D: A Design-Time Tool for AI Applications Resource Selection in Computing Continua.

Hamta Sedghani, Federica Filippini, Danilo Ardagna

IEEE Trans. Serv. Comput., 2024

A Stochastic Approach for Scheduling AI Training Jobs in GPU-Based Systems.

Federica Filippini, Jonatha Anselmi, Danilo Ardagna, Bruno Gaujal

IEEE Trans. Cloud Comput., 2024

Runtime Management of Artificial Intelligence Applications Through Hierarchical Reinforcement Learning.

Riccardo Cavadini, Hamta Sedghani, Federica Filippini, Danilo Ardagna

Proceedings of the Performance Evaluation Methodologies and Tools, 2024

Comparing Actor-Critic and Neuroevolution Approaches for Traffic Offloading in FaaS-powered Edge Systems.

Emanuele Petriglia, Federica Filippini, Giacomo Pracucci, Marco Savi, Michele Ciavotta

Proceedings of the 1st Workshop on Serverless at the Edge, 2024

Analysis and Evaluation of Load Management Strategies in a Decentralized FaaS Environment: A Simulation-Based Framework.

Federica Filippini, Nicolas Calmi, Luca Cavenaghi, Emanuele Petriglia, Marco Savi, Michele Ciavotta

Proceedings of the 1st Workshop on Serverless at the Edge, 2024

Greening AI: A Framework for Energy-Aware Resource Allocation of ML Training Jobs with Performance Guarantees.

Roberto Sala, Federica Filippini, Danilo Ardagna, Daniele Lezzi, Francesc Lordan, Patrick Thiem

Proceedings of the Advanced Information Networking and Applications, 2024

2023

A Path Relinking Method for the Joint Online Scheduling and Capacity Allocation of DL Training Workloads in GPU as a Service Systems.

Federica Filippini, Marco Lattuada, Michele Ciavotta, Arezoo Jahani, Danilo Ardagna, Edoardo Amaldi

IEEE Trans. Serv. Comput., 2023

OSCAR-P and aMLLibrary: Performance Profiling and Prediction of Computing Continua Applications.

Enrico Galimberti, Bruno Guindani, Federica Filippini, Hamta Sedghani, Danilo Ardagna, Germán Moltó, Miguel Caballer

Proceedings of the Companion of the 2023 ACM/SPEC International Conference on Performance Engineering, 2023

Runtime Management of Artificial Intelligence Applications for Smart Eyewears.

Abednego Wamuhindo Kambale, Hamta Sedghani, Federica Filippini, Giacomo Verticale, Danilo Ardagna

Proceedings of the IEEE/ACM 16th International Conference on Utility and Cloud Computing, 2023

SPACE4AI-R: a Runtime Management Tool for AI Applications Component Placement and Resource Scaling in Computing Continua.

Federica Filippini, Hamta Sedghani, Danilo Ardagna

Proceedings of the IEEE/ACM 16th International Conference on Utility and Cloud Computing, 2023

FIGARO: reinForcement learnInG mAnagement acRoss the computing cOntinuum.

Federica Filippini, Riccardo Cavadini, Danilo Ardagna, Riccardo Lancellotti, Gabriele Russo Russo, Valeria Cardellini, Francesco Lo Presti

Proceedings of the IEEE/ACM 16th International Conference on Utility and Cloud Computing, 2023

Performance Models for Distributed Deep Learning Training Jobs on Ray.

Federica Filippini, Boris Lublinsky, Maximilien de Bayser, Danilo Ardagna

Proceedings of the 49th Euromicro Conference on Software Engineering and Advanced Applications, 2023

2022

AI-SPRINT SPACE4AI-R Local Search.

Federica Filippini, Hamta Sedghani, Danilo Ardagna

Dataset, December, 2022

AI-SPRINT GPU STochastic Scheduler.

Federica Filippini, Danilo Ardagna

Dataset, December, 2022

Hierarhical method and Dynamic Programming methods for AI-SPRINT GPU Scheduler.

Michele Precuzzi, Federica Filippini, Danilo Ardagna

Dataset, May, 2022

2021

PyCOMPSs Performance Models.

Federica Filippini, Hamta Sedghani, Danilo Ardagna, Daniele Lezzi

Dataset, December, 2021

Performance Prediction of Deep Learning Applications.

Federica Filippini, Hamta Sedghani, Danilo Ardagna, Daniele Lezzi

Dataset, December, 2021

Mask Detection Application Performance Models.

Federica Filippini, Hamta Sedghani, Danilo Ardagna

Dataset, December, 2021

AI-SPRINT GPU Scheduler.

Federica Filippini, Marco Lattuada, Michele Ciavotta, Arezoo Jahani, Michele Precuzzi, Danilo Ardagna, Edoardo Amaldi

Dataset, December, 2021

A Randomized Greedy Method for AI Applications Component Placement and Resource Selection in Computing Continua.

Hamta Sedghani, Federica Filippini, Danilo Ardagna

Proceedings of the IEEE International Conference on Joint Cloud Computing, 2021

ANDREAS: Artificial intelligence traiNing scheDuler foR accElerAted resource clusterS.

Federica Filippini, Danilo Ardagna, Marco Lattuada, Edoardo Amaldi, Maciek Riedl, Katarzyna Materka, Pawel Skrzypek, Michele Ciavotta, Fabrizio Magugliani, Marco Cicala

Proceedings of the 8th International Conference on Future Internet of Things and Cloud, 2021

A Random Greedy based Design Time Tool for AI Applications Component Placement and Resource Selection in Computing Continua.

Hamta Sedghani, Federica Filippini, Danilo Ardagna

Proceedings of the IEEE International Conference on Edge Computing, 2021

2020

Hierarchical Scheduling in on-demand GPU-as-a-Service Systems.

Federica Filippini, Marco Lattuada, Arezoo Jahani, Michele Ciavotta, Danilo Ardagna, Edoardo Amaldi

Proceedings of the 22nd International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2020