Samuele Fonio

University of Turin, Corso Svizzera 185, Turin, Italy.

prof_pic.jpg

University of Turin

Dept. of Computer Science

Alpha Research Group

Hi! I am Samuele Fonio, a PhD student in Modeling and data science at the University of Turin. I am currently enrolled in my third year. My research focus is about:

  • Deep Learning on non-Euclidean manifolds;
  • Communication-efficient Federated Learning.

To tackle these challenges, I am focusing on Prototype Learning and other metric learning methods :smile:. However, I am very curious about many aspects of Machine Learning (ML), and eager to explore many aspects of it.

My background is in mathematics, I have a bachelor in pure Mathematics and a Master Degree in Stochastics and Data Science.

At the University of Turin, I am more focused on Machine Learning research, but I am part of the Parallel computing research group Alpha! My supervisors are Roberto Esposito and Marco Aldinucci.

On my website you can find my publications, my interests, my CV, and many other things. Of course, it is still in development, and I still need to get used to al-folio. Have fun on my website!

News

Mar 27, 2025 I have just completed the Learning Over Time Spring School! Check out the blog for more details.
Mar 23, 2025 Our Tutorial on Federated Learning, “Experimenting with Federated Learning: Implementing State-of-the-Art Methods with fluke” was accepted at ECAI25!
Jan 21, 2025 Our paper “Hyperbolic prototypical Entailment Cones for image classification” authored by myself, Roberto Esposito and Marco Aldinucci was accepted at AISTATS 2025!

Selected Publications

  1. Hyperbolic Prototypical Entailment Cones for Image Classification
    Samuele Fonio, Roberto Esposito, and Marco Aldinucci
    In The 28th International Conference on Artificial Intelligence and Statistics, 2025
  2. Fedhp: Federated learning with hyperspherical prototypical regularization
    Samuele Fonio, Mirko Polato, Roberto Esposito, and 1 more author
    In ESANN 2024 proceedings, 2024
  3. Federated AdaBoost for Survival Analysis
    Oussama Harrak, Bruno Casella, Samuele Fonio, and 6 more authors
    In Proceedings of the ECML-PKDD Workshops, 2024
  4. Architecture-Based FedAvg for Vertical Federated Learning
    Bruno Casella, and Samuele Fonio
    In Proceedings of the IEEE/ACM 16th International Conference on Utility and Cloud Computing, 2023
  5. Hierarchical priors for Hyperspherical Prototypical Networks
    Samuele Fonio, Lorenzo Paletto, Mattia Cerrato, and 3 more authors
    In ESANN 2023-Proceedings, 2023
  6. Benchmarking Federated Learning Frameworks for Medical Imaging Tasks
    Samuele Fonio
    In International Conference on Image Analysis and Processing, 2023