Yann Fraboni

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 11

Top Topics

Efficient Optimization

Federated Databases

Prostate Segmentation

Learning Process

Top Venues

J. Mach. Learn. Res.

ISIC/Care-AI/MedAGI/DeCaF@MICCAI

Publications

Yann Fraboni, Martin Van Waerebeke, Kevin Scaman, Richard Vidal, Laetitia Kameni, Marco Lorenzi
SIFU: Sequential Informed Federated Unlearning for Efficient and Provable Client Unlearning in Federated Optimization. AISTATS (2024)
Yann Fraboni, Richard Vidal, Laetitia Kameni, Marco Lorenzi
A General Theory for Federated Optimization with Asynchronous and Heterogeneous Clients Updates. J. Mach. Learn. Res. 24 (2023)
Yann Fraboni, Lucia Innocenti, Michela Antonelli, Richard Vidal, Laetitia Kameni, Sébastien Ourselin, Marco Lorenzi
Validation of Federated Unlearning on Collaborative Prostate Segmentation. ISIC/Care-AI/MedAGI/DeCaF@MICCAI (2023)
Yann Fraboni, Richard Vidal, Laetitia Kameni, Marco Lorenzi
A General Theory for Federated Optimization with Asynchronous and Heterogeneous Clients Updates. CoRR (2022)
Yann Fraboni, Richard Vidal, Laetitia Kameni, Marco Lorenzi
A General Theory for Client Sampling in Federated Learning. FL@IJCAI (2022)
Yann Fraboni, Richard Vidal, Laetitia Kameni, Marco Lorenzi
Sequential Informed Federated Unlearning: Efficient and Provable Client Unlearning in Federated Optimization. CoRR (2022)
Yann Fraboni, Richard Vidal, Laetitia Kameni, Marco Lorenzi
Clustered Sampling: Low-Variance and Improved Representativity for Clients Selection in Federated Learning. CoRR (2021)
Yann Fraboni, Richard Vidal, Marco Lorenzi
Free-rider Attacks on Model Aggregation in Federated Learning. AISTATS (2021)
Yann Fraboni, Richard Vidal, Laetitia Kameni, Marco Lorenzi
On The Impact of Client Sampling on Federated Learning Convergence. CoRR (2021)
Yann Fraboni, Richard Vidal, Laetitia Kameni, Marco Lorenzi
Clustered Sampling: Low-Variance and Improved Representativity for Clients Selection in Federated Learning. ICML (2021)
Yann Fraboni, Richard Vidal, Marco Lorenzi
Free-rider Attacks on Model Aggregation in Federated Learning. CoRR (2020)