Samuele Fonio

Orcid: 0009-0003-1870-4233

According to our database1, Samuele Fonio authored at least 12 papers between 2023 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
When Curvature Counts: Hyperbolic Geometry in Prototype-Based Image Classification.
Proceedings of the 34th European Symposium on Artificial Neural Networks, 2026

2025
Personalized Aggregation for Federated Prototypical Learning.
Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2025

Non-Euclidean Geometries for Prototype-Based Image Classification: a Reality Check.
Proceedings of the 4th Italian Conference on Big Data and Data Science (ITADATA 2025), 2025

Fed2RC: Federated Rocket Kernels and Ridge Classifier for Time Series Classification.
Proceedings of the ECAI 2025 - 28th European Conference on Artificial Intelligence, 25-30 October 2025, Bologna, Italy, 2025

Benchmarking Federated Learning Frameworks' Scalability.
Proceedings of the 3rd Special Track on Big Data and High-Performance Computing (BigHPC 2025) co-located with the 4th Italian Conference on Big Data and Data Science (ITADATA 2025), 2025

Hyperbolic Prototypical Entailment Cones for Image Classification.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024
Federated AdaBoost for Survival Analysis.
Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2024

Benchmarking Parallelization Models through Karmarkar's Interior-point method.
Proceedings of the 32nd Euromicro International Conference on Parallel, 2024

FedHP: Federated Learning with Hyperspherical Prototypical Regularization.
Proceedings of the 32nd European Symposium on Artificial Neural Networks, 2024

2023
Architecture-Based FedAvg for Vertical Federated Learning.
Proceedings of the IEEE/ACM 16th International Conference on Utility and Cloud Computing, 2023

Benchmarking Federated Learning Frameworks for Medical Imaging Tasks.
Proceedings of the Image Analysis and Processing - ICIAP 2023 Workshops, 2023

Hierarchical priors for Hyperspherical Prototypical Networks.
Proceedings of the 31st European Symposium on Artificial Neural Networks, 2023


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