FILIPPINI, FEDERICA
FILIPPINI, FEDERICA
DIPARTIMENTO DI INFORMATICA, SISTEMISTICA E COMUNICAZIONE
Distributed replica allocation and load balancing for Edge–Cloud FaaS: A cooperative multi-agent orchestration approach
2026 Filippini, F; Lujak, M; Ciavotta, M
Runtime Management of Artificial Intelligence Applications Through Hierarchical Reinforcement Learning
2026 Cavadini, R; Sedghani, H; Filippini, F; Ardagna, D
Tabular Reinforcement Learning Methods for Artificial Intelligence Tasks Offloading in Smart Eye-Wears
2026 Kambale, A; Sedghani, H; Filippini, F; Verticale, G; Ardagna, D
Decentralized Edge Workload Forecasting With Gossip Learning
2025 Tundo, A; Filippini, F; Regonesi, F; Ciavotta, M; Savi, M
Federated Reinforcement Learning for Runtime Optimization of AI Applications in Smart Eyewears
2025 Sedghani, H; Kambale, A; Filippini, F; Palermo, F; Trojaniello, D; Ardagna, D
ML-Based Performance Modeling in Edge FaaS Systems
2025 Filippini, F; Cavenaghi, L; Calmi, N; Savi, M; Ciavotta, M
Multi-Agent Reinforcement Learning for Workload Distribution in FaaS-Edge Computing Systems
2025 Petriglia, E; Filippini, F; Ciavotta, M; Savi, M
OSCAR-P and aMLLibrary: Profiling and predicting the performance of FaaS-based applications in computing continua
2025 Sala, R; Guindani, B; Galimberti, E; Filippini, F; Sedghani, H; Ardagna, D; Risco, S; Molto, G; Caballer, M
Resource Allocation and Scheduling Problems in Computing Continua for Artificial Intelligence Applications
2025 Filippini, F
A Stochastic Approach for Scheduling AI Training Jobs in GPU-Based Systems
2024 Filippini, F; Anselmi, J; Ardagna, D; Gaujal, B
Analysis and Evaluation of Load Management Strategies in a Decentralized FaaS Environment: A Simulation-Based Framework
2024 Filippini, F; Calmi, N; Cavenaghi, L; Petriglia, E; Savi, M; Ciavotta, M
Comparing Actor-Critic and Neuroevolution Approaches for Traffic Offloading in FaaS-powered Edge Systems
2024 Petriglia, E; Filippini, F; Pracucci, G; Savi, M; Ciavotta, M
Greening AI: A Framework for Energy-Aware Resource Allocation of ML Training Jobs with Performance Guarantees
2024 Sala, R; Filippini, F; Ardagna, D; Lezzi, D; Lordan, F; Thiem, P
SPACE4AI-D: A Design-Time Tool for AI Applications Resource Selection in Computing Continua
2024 Sedghani, H; Filippini, F; Ardagna, D
A Path Relinking Method for the Joint Online Scheduling and Capacity Allocation of DL Training Workloads in GPU as a Service Systems
2023 Filippini, F; Lattuada, M; Ciavotta, M; Jahani, A; Ardagna, D; Amaldi, E
FIGARO: reinForcement learnInG mAnagement acRoss the computing cOntinuum
2023 Filippini, F; Cavadini, R; Ardagna, D; Lancellotti, R; Russo Russo, G; Cardellini, V; Lo Presti, F
OSCAR-P and aMLLibrary: Performance Profiling and Prediction of Computing Continua Applications
2023 Galimberti, E; Guindani, B; Filippini, F; Sedghani, H; Ardagna, D; Molto, G; Caballer, M
Performance Models for Distributed Deep Learning Training Jobs on Ray
2023 Filippini, F; Lublinsky, B; De Bayser, M; Ardagna, D
Runtime Management of Artificial Intelligence Applications for Smart Eyewears
2023 Kambale, A; Sedghani, H; Filippini, F; Verticale, G; Ardagna, D
SPACE4AI-R: a Runtime Management Tool for AI Applications Component Placement and Resource Scaling in Computing Continua
2023 Filippini, F; Sedghani, H; Ardagna, D