Bruno Casella

According to our database, Bruno Casella authored at least 15 papers between 2006 and 2025.

Collaborative distances:

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

2025

A performance analysis of VM-based Trusted Execution Environments for Confidential Federated Learning.

Bruno Casella

CoRR, January, 2025

2024

<i>FedER</i>: Federated Learning through Experience Replay and privacy-preserving data synthesis.

Matteo Pennisi, Federica Proietto Salanitri, Giovanni Bellitto, Bruno Casella, Marco Aldinucci, Simone Palazzo, Concetto Spampinato

Comput. Vis. Image Underst., January, 2024

Experimenting With Normalization Layers in Federated Learning on Non-IID Scenarios.

Bruno Casella, Roberto Esposito, Antonio Sciarappa, Carlo Cavazzoni, Marco Aldinucci

IEEE Access, 2024

A Performance Analysis for Confidential Federated Learning.

Bruno Casella, Iacopo Colonnelli, Gianluca Mittone, Robert Birke, Walter Riviera, Antonio Sciarappa, Carlo Cavazzoni, Marco Aldinucci

Proceedings of the IEEE Security and Privacy, 2024

Federated Time Series Classification with ROCKET features.

Bruno Casella, Matthias Jakobs, Marco Aldinucci, Sebastian Buschjäger

Proceedings of the 32nd European Symposium on Artificial Neural Networks, 2024

Federated Learning in a Semi-Supervised Environment for Earth Observation Data.

Bruno Casella, Alessio Barbaro Chisari, Marco Aldinucci, Sebastiano Battiato, Mario Valerio Giuffrida

Proceedings of the 32nd European Symposium on Artificial Neural Networks, 2024

2023

MERGE: A model for multi-input biomedical federated learning.

Bruno Casella, Walter Riviera, Marco Aldinucci, Gloria Menegaz

Patterns, November, 2023

Architecture-Based FedAvg for Vertical Federated Learning.

Bruno Casella, Samuele Fonio

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

Experience Replay as an Effective Strategy for Optimizing Decentralized Federated Learning.

Matteo Pennisi, Federica Proietto Salanitri, Giovanni Bellitto, Concetto Spampinato, Simone Palazzo, Bruno Casella, Marco Aldinucci

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Predicting Cryptocurrencies Market Phases through On-Chain Data Long-Term Forecasting.

Bruno Casella, Lorenzo Paletto

Proceedings of the IEEE International Conference on Blockchain and Cryptocurrency, 2023

2022

Decentralized Distributed Learning with Privacy-Preserving Data Synthesis.

Matteo Pennisi, Federica Proietto Salanitri, Giovanni Bellitto, Bruno Casella, Marco Aldinucci, Simone Palazzo, Concetto Spampinato

CoRR, 2022

Transfer Learning via Test-time Neural Networks Aggregation.

Bruno Casella, Alessio Barbaro Chisari, Sebastiano Battiato, Mario Valerio Giuffrida

Proceedings of the 17th International Joint Conference on Computer Vision, 2022

Benchmarking FedAvg and FedCurv for Image Classification Tasks.

Bruno Casella, Roberto Esposito, Carlo Cavazzoni, Marco Aldinucci

Proceedings of the 1st Italian Conference on Big Data and Data Science (itaDATA 2022), 2022

2013

The strong weak convergence of the quasi-EA.

Stefano Peluchetti, Gareth O. Roberts, Bruno Casella

Queueing Syst. Theory Appl., 2013

2006

Monte Carlo simulation of killed diffusions with a single barrier.

Bruno Casella, Gareth O. Roberts

Proceedings of the 1st International Conference on Performance Evaluation Methodolgies and Tools, 2006