| 2026 | ESANN | When Curvature Counts: Hyperbolic Geometry in Prototype-Based Image Classification. | Silvia Grosso, Samuele Fonio, Mirko Polato, Roberto Esposito, Sara Bouchenak |
| 2025 | AISTATS | Hyperbolic Prototypical Entailment Cones for Image Classification. | Samuele Fonio, Roberto Esposito, Marco Aldinucci |
| 2025 | ECAI | Fed2RC: Federated Rocket Kernels and Ridge Classifier for Time Series Classification. | Bruno Casella, Samuele Fonio, Lorenzo Sciandra, Claudio Gallicchio, Marco Aldinucci, Mirko Polato, Roberto Esposito |
| 2024 | ESANN | FedHP: Federated Learning with Hyperspherical Prototypical Regularization. | Samuele Fonio, Mirko Polato, Roberto Esposito |
| 2024 | PDP | Benchmarking Parallelization Models through Karmarkar's Interior-point method. | Marco Edoardo Santimaria, Samuele Fonio, Giulio Malenza, Iacopo Colonnelli, Marco Aldinucci |
| 2023 | ESANN | Hierarchical priors for Hyperspherical Prototypical Networks. | Samuele Fonio, Lorenzo Paletto, Mattia Cerrato, Dino Ienco, Roberto Esposito |
| 2023 | ICIAP | Benchmarking Federated Learning Frameworks for Medical Imaging Tasks. | Samuele Fonio |
| 2023 | UCC | Architecture-Based FedAvg for Vertical Federated Learning. | Bruno Casella, Samuele Fonio |