Monte Carlo simulation of killed diffusions with a single barrier. - Bruno Casella; Gareth O. Roberts (VALUETOOLS, 2006)

The strong weak convergence of the quasi-EA. - Stefano Peluchetti; Gareth O. Roberts; Bruno Casella (Queueing Syst. Theory Appl., 2013)

Benchmarking FedAvg and FedCurv for Image Classification Tasks. - Bruno Casella; Roberto Esposito; Carlo Cavazzoni; Marco Aldinucci (itaDATA, 2022)

Transfer Learning via Test-time Neural Networks Aggregation. - Bruno Casella; Alessio Barbaro Chisari; Sebastiano Battiato; Mario Valerio Giuffrida (VISIGRAPP (5: VISAPP), 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)

Predicting Cryptocurrencies Market Phases through On-Chain Data Long-Term Forecasting. - Bruno Casella; Lorenzo Paletto (ICBC, 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 (ICCV (Workshops), 2023)

Architecture-Based FedAvg for Vertical Federated Learning. - Bruno Casella; Samuele Fonio (UCC, 2023)

MERGE: A model for multi-input biomedical federated learning. - Bruno Casella; Walter Riviera; Marco Aldinucci; Gloria Menegaz (Patterns, 2023)

Federated Learning in a Semi-Supervised Environment for Earth Observation Data. - Bruno Casella; Alessio Barbaro Chisari; Marco Aldinucci; Sebastiano Battiato; Mario Valerio Giuffrida (ESANN, 2024)

Federated Time Series Classification with ROCKET features. - Bruno Casella; Matthias Jakobs; Marco Aldinucci; Sebastian Buschjäger (ESANN, 2024)

A Performance Analysis for Confidential Federated Learning. - Bruno Casella; Iacopo Colonnelli; Gianluca Mittone; Robert Birke; Walter Riviera; Antonio Sciarappa; Carlo Cavazzoni; Marco Aldinucci (SP (Workshops), 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)

FedER: 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., 2024)

A performance analysis of VM-based Trusted Execution Environments for Confidential Federated Learning. - Bruno Casella (PDP, 2025)

Cloud Detection Challenge-Methods and Results. - Alessio Barbaro Chisari; Luca Guarnera; Alessandro Ortis; Wladimiro Carlo Patatu; Bruno Casella; Luca Naso; Giuseppe Puglisi; Vincenzo del Zoppo; Mario Valerio Giuffrida; Sebastiano Battiato (IEEE Access, 2025)

Decentralized Time Series Classification with ROCKET Features. - Bruno Casella; Matthias Jakobs; Marco Aldinucci; Sebastian Buschjäger (CoRR, 2025)