Yann Fraboni

According to our database, Yann Fraboni authored at least 8 papers between 2021 and 2023.

Collaborative distances:

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

2023

Reliability and robustness of federated learning in practical applications. (Fiabilité et robustesse de l'apprentissage fédéré pour applications concrètes).

Yann Fraboni

PhD thesis, 2023

A General Theory for Federated Optimization with Asynchronous and Heterogeneous Clients Updates.

Yann Fraboni, Richard Vidal, Laetitia Kameni, Marco Lorenzi

J. Mach. Learn. Res., 2023

Validation of Federated Unlearning on Collaborative Prostate Segmentation.

Yann Fraboni, Lucia Innocenti, Michela Antonelli, Richard Vidal, Laetitia Kameni, Sébastien Ourselin, Marco Lorenzi

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops, 2023

2022

Sequential Informed Federated Unlearning: Efficient and Provable Client Unlearning in Federated Optimization.

Yann Fraboni, Richard Vidal, Laetitia Kameni, Marco Lorenzi

CoRR, 2022

A General Theory for Client Sampling in Federated Learning.

Yann Fraboni, Richard Vidal, Laetitia Kameni, Marco Lorenzi

Proceedings of the Trustworthy Federated Learning - First International Workshop, 2022

2021

On The Impact of Client Sampling on Federated Learning Convergence.

Yann Fraboni, Richard Vidal, Laetitia Kameni, Marco Lorenzi

CoRR, 2021

Clustered Sampling: Low-Variance and Improved Representativity for Clients Selection in Federated Learning.

Yann Fraboni, Richard Vidal, Laetitia Kameni, Marco Lorenzi

Proceedings of the 38th International Conference on Machine Learning, 2021

Free-rider Attacks on Model Aggregation in Federated Learning.

Yann Fraboni, Richard Vidal, Marco Lorenzi

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021