| Benchmarking FedAvg and FedCurv for Image Classification Tasks B Casella, R Esposito, C Cavazzoni, M Aldinucci Proceedings of the 1st Italian Conference on Big Data and Data Science …, 2022 | 10 | 2022 |
| Experimenting with normalization layers in federated learning on non-iid scenarios B Casella, R Esposito, A Sciarappa, C Cavazzoni, M Aldinucci IEEE Access, 2024 | 8 | 2024 |
| Predicting Cryptocurrencies Market Phases through On-Chain Data Long-Term Forecasting B Casella, L Paletto 2023 IEEE International Conference on Blockchain and Cryptocurrency (ICBC), 1-4, 2023 | 7 | 2023 |
| Federated Learning meets HPC and cloud I Colonnelli, B Casella, G Mittone, Y Arfat, B Cantalupo, R Esposito, ... ML4Astro International Conference, 193-199, 2022 | 6 | 2022 |
| Transfer learning via test-time neural networks aggregation B Casella, AB Chisari, S Battiato, MV Giuffrida arXiv preprint arXiv:2206.13399, 2022 | 3 | 2022 |
| MERGE: A model for multi-input biomedical federated learning B Casella, W Riviera, M Aldinucci, G Menegaz Patterns 4 (11), 2023 | 2 | 2023 |
| FedER: Federated Learning through Experience Replay and Privacy-Preserving Data Synthesis M Pennisi, FP Salanitri, G Bellitto, B Casella, M Aldinucci, S Palazzo, ... arXiv preprint arXiv:2206.10048, 2022 | 2* | 2022 |
| Predictors of target lesion failure after treatment of left main, bifurcation, or chronic total occlusion lesions with ultrathin‐strut drug‐eluting coronary stents in the ULTRA … O de Filippo, F Bruno, TH Pinxterhuis, M Gąsior, L Perl, L Gaido, ... Catheterization and Cardiovascular Interventions 102 (2), 221-232, 2023 | 1 | 2023 |
| Protocol for training MERGE: A federated multi-input neural network for COVID-19 prognosis B Casella, W Riviera, M Aldinucci, G Menegaz STAR protocols 5 (1), 102812, 2024 | | 2024 |
| A Performance Model for Confidential Federated Learning B Casella, I Colonnelli, G Mittone, R Birke, W Riviera, A Sciarappa, ... Proceedings of the IEEE Symposium on Security and Privacy, 1-9, 2024 | | 2024 |
| Architecture-Based FedAvg for Vertical Federated Learning B Casella, S Fonio Proceedings of the IEEE/ACM 16th International Conference on Utility and …, 2023 | | 2023 |
| Experience Replay as an Effective Strategy for Optimizing Decentralized Federated Learning M Pennisi, FP Salanitri, G Bellitto, C Spampinato, S Palazzo, B Casella, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | | 2023 |
