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2020 – today
- 2024
[j4]Bruno Casella
, Roberto Esposito, Antonio Sciarappa, Carlo Cavazzoni, Marco Aldinucci:
Experimenting With Normalization Layers in Federated Learning on Non-IID Scenarios. IEEE Access 12: 47961-47971 (2024)- [j3]Matteo Pennisi, Federica Proietto Salanitri, Giovanni Bellitto, Bruno Casella, Marco Aldinucci, Simone Palazzo, Concetto Spampinato:
FedER: Federated Learning through Experience Replay and privacy-preserving data synthesis. Comput. Vis. Image Underst. 238: 103882 (2024) - [c7]Bruno Casella, Iacopo Colonnelli, Gianluca Mittone, Robert Birke, Walter Riviera, Antonio Sciarappa, Carlo Cavazzoni, Marco Aldinucci:
A Performance Analysis for Confidential Federated Learning. SP (Workshops) 2024: 40-47 - 2023
- [j2]Bruno Casella, Walter Riviera, Marco Aldinucci, Gloria Menegaz:
MERGE: A model for multi-input biomedical federated learning. Patterns 4(11): 100856 (2023) - [c6]Bruno Casella, Lorenzo Paletto:
Predicting Cryptocurrencies Market Phases through On-Chain Data Long-Term Forecasting. ICBC 2023: 1-4 - [c5]Matteo Pennisi, Federica Proietto Salanitri, Giovanni Bellitto, Concetto Spampinato, Simone Palazzo, Bruno Casella, Marco Aldinucci:
Experience Replay as an Effective Strategy for Optimizing Decentralized Federated Learning. ICCV (Workshops) 2023: 3368-3375 - [c4]Bruno Casella, Samuele Fonio:
Architecture-Based FedAvg for Vertical Federated Learning. UCC 2023: 27 - [i4]Bruno Casella, Roberto Esposito, Antonio Sciarappa, Carlo Cavazzoni, Marco Aldinucci:
Experimenting with Normalization Layers in Federated Learning on non-IID scenarios. CoRR abs/2303.10630 (2023) - [i3]Bruno Casella, Roberto Esposito, Carlo Cavazzoni, Marco Aldinucci:
Benchmarking FedAvg and FedCurv for Image Classification Tasks. CoRR abs/2303.17942 (2023) - 2022
- [c3]Bruno Casella, Roberto Esposito, Carlo Cavazzoni, Marco Aldinucci:
Benchmarking FedAvg and FedCurv for Image Classification Tasks. itaDATA 2022: 99-110 - [c2]Bruno Casella, Alessio Barbaro Chisari, Sebastiano Battiato, Mario Valerio Giuffrida:
Transfer Learning via Test-time Neural Networks Aggregation. VISIGRAPP (5: VISAPP) 2022: 642-649 - [i2]Matteo Pennisi, Federica Proietto Salanitri, Giovanni Bellitto, Bruno Casella, Marco Aldinucci, Simone Palazzo, Concetto Spampinato:
Decentralized Distributed Learning with Privacy-Preserving Data Synthesis. CoRR abs/2206.10048 (2022) - [i1]Bruno Casella, Alessio Barbaro Chisari, Sebastiano Battiato, Mario Valerio Giuffrida:
Transfer Learning via Test-Time Neural Networks Aggregation. CoRR abs/2206.13399 (2022)
2010 – 2019
- 2013
- [j1]Stefano Peluchetti, Gareth O. Roberts, Bruno Casella:
The strong weak convergence of the quasi-EA. Queueing Syst. Theory Appl. 73(4): 447-460 (2013)
2000 – 2009
- 2006
- [c1]Bruno Casella, Gareth O. Roberts:
Monte Carlo simulation of killed diffusions with a single barrier. VALUETOOLS 2006: 44
Coauthor Index
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