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ORCIDYann Fraboni
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2020 – today
- 2024
[c5]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: 3457-3465- 2023
- [b1]Yann Fraboni:
Reliability and robustness of federated learning in practical applications. (Fiabilité et robustesse de l'apprentissage fédéré pour applications concrètes). Côte d'Azur University, Nice, France, 2023 - [j1]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: 110:1-110:43 (2023) - [c4]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: 322-333 - 2022
- [c3]Yann Fraboni, Richard Vidal, Laetitia Kameni, Marco Lorenzi:
A General Theory for Client Sampling in Federated Learning. FL@IJCAI 2022: 46-58 - [i5]Yann Fraboni, Richard Vidal, Laetitia Kameni, Marco Lorenzi:
A General Theory for Federated Optimization with Asynchronous and Heterogeneous Clients Updates. CoRR abs/2206.10189 (2022) - [i4]Yann Fraboni, Richard Vidal, Laetitia Kameni, Marco Lorenzi:
Sequential Informed Federated Unlearning: Efficient and Provable Client Unlearning in Federated Optimization. CoRR abs/2211.11656 (2022) - 2021
- [c2]Yann Fraboni, Richard Vidal, Marco Lorenzi:
Free-rider Attacks on Model Aggregation in Federated Learning. AISTATS 2021: 1846-1854 - [c1]Yann Fraboni, Richard Vidal, Laetitia Kameni, Marco Lorenzi:
Clustered Sampling: Low-Variance and Improved Representativity for Clients Selection in Federated Learning. ICML 2021: 3407-3416 - [i3]Yann Fraboni, Richard Vidal, Laetitia Kameni, Marco Lorenzi:
Clustered Sampling: Low-Variance and Improved Representativity for Clients Selection in Federated Learning. CoRR abs/2105.05883 (2021) - [i2]Yann Fraboni, Richard Vidal, Laetitia Kameni, Marco Lorenzi:
On The Impact of Client Sampling on Federated Learning Convergence. CoRR abs/2107.12211 (2021) - 2020
- [i1]Yann Fraboni, Richard Vidal, Marco Lorenzi:
Free-rider Attacks on Model Aggregation in Federated Learning. CoRR abs/2006.11901 (2020)
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