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Filippo Galli
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2020 – today
- 2024
- [j2]Giacomo Lanciano, Filippo Galli, Tommaso Cucinotta, Davide Bacciu, Andrea Passarella:
Extending OpenStack Monasca for Predictive Elasticity Control. Big Data Min. Anal. 7(2): 315-339 (2024) - [c7]Filippo Galli, Catuscia Palamidessi, Tommaso Cucinotta:
Online Sensitivity Optimization in Differentially Private Learning. AAAI 2024: 12109-12117 - [c6]Filippo Galli, Manuel Rigobello, Michela Schibuola, Riccardo Zuech, Nicola Ferro:
SEUPD@CLEF: Team IRIS on Temporal Evolution of Query Expansion and Rank Fusion Techniques Applied to Cross-Encoder Re-Rankers. CLEF (Working Notes) 2024: 2356-2383 - [i5]Filippo Galli, Luca Melis, Tommaso Cucinotta:
Noisy Neighbors: Efficient membership inference attacks against LLMs. CoRR abs/2406.16565 (2024) - 2023
- [j1]Filippo Galli, Kangsoo Jung, Sayan Biswas
, Catuscia Palamidessi, Tommaso Cucinotta:
Advancing Personalized Federated Learning: Group Privacy, Fairness, and Beyond. SN Comput. Sci. 4(6): 831 (2023) - [c5]Filippo Galli, Sayan Biswas
Group Privacy for Personalized Federated Learning. ICISSP 2023: 252-263 - [d8]Giacomo Lanciano
Archival bundle of the code used for "Extending OpenStack Monasca for Predictive Elasticity Control". Version v3.0.0. Zenodo, 2023 [all versions] - [i4]Filippo Galli, Kangsoo Jung, Sayan Biswas, Catuscia Palamidessi, Tommaso Cucinotta:
Advancing Personalized Federated Learning: Group Privacy, Fairness, and Beyond. CoRR abs/2309.00416 (2023) - [i3]Filippo Galli, Catuscia Palamidessi, Tommaso Cucinotta:
Online Sensitivity Optimization in Differentially Private Learning. CoRR abs/2310.00829 (2023) - 2022
- [c4]Tommaso Cucinotta, Luigi Pannocchi, Filippo Galli, Silvia Fichera, Sourav Lahiri, Antonino Artale:
Optimum VM Placement for NFV Infrastructures. IC2E 2022: 205-212 - [d7]Giacomo Lanciano
Archival bundle of the data used for "Extending OpenStack Monasca for Predictive Elasticity Control". Version 1. Zenodo, 2022 [all versions] - [d6]Giacomo Lanciano
Archival bundle of the code used for "Extending OpenStack Monasca for Predictive Elasticity Control". Version v1.0.0. Zenodo, 2022 [all versions] - [d5]Giacomo Lanciano
Archival bundle of the data used for "Extending OpenStack Monasca for Predictive Elasticity Control". Version 2. Zenodo, 2022 [all versions] - [d4]Giacomo Lanciano
Archival bundle of the code used for "Extending OpenStack Monasca for Predictive Elasticity Control". Version v2.0.0. Zenodo, 2022 [all versions] - [i2]Filippo Galli, Sayan Biswas, Kangsoo Jung, Catuscia Palamidessi, Tommaso Cucinotta:
Group privacy for personalized federated learning. CoRR abs/2206.03396 (2022) - 2021
- [c3]Tommaso Cucinotta, Giacomo Lanciano
Forecasting Operation Metrics for Virtualized Network Functions. CCGRID 2021: 596-605 - [c2]Giacomo Lanciano
Predictive auto-scaling with OpenStack Monasca. UCC 2021: 20:1-20:10 - [d3]Giacomo Lanciano
Archival bundle of the data used for "Predictive Auto-scaling with OpenStack Monasca" (UCC 2021). Zenodo, 2021 - [d2]Giacomo Lanciano
Archival bundle of the code used for "Predictive Auto-scaling with OpenStack Monasca" (UCC 2021). Version v1.0.0. Zenodo, 2021 [all versions] - [d1]Giacomo Lanciano
Archival bundle of the code used for "Predictive Auto-scaling with OpenStack Monasca" (UCC 2021). Version v1.0.1. Zenodo, 2021 [all versions] - [i1]Giacomo Lanciano
Predictive Auto-scaling with OpenStack Monasca. CoRR abs/2111.02133 (2021)
2010 – 2019
- 2019
- [c1]Marco Vannocci, Antonio Ritacco, Angelo Castellano, Filippo Galli, Marco Vannucci, Vincenzo Iannino, Valentina Colla:
Flatness Defect Detection and Classification in Hot Rolled Steel Strips Using Convolutional Neural Networks. IWANN (2) 2019: 220-234
Coauthor Index
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