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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
CoRR
AISTATS
J. Mach. Learn. Res.
ISIC/Care-AI/MedAGI/DeCaF@MICCAI
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Publications
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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)