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Othmane Marfoq
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Federated multi-task learning under a mixture of distributions
O Marfoq, G Neglia, A Bellet, L Kameni, R Vidal
Advances in Neural Information Processing Systems 34, 15434-15447, 2021
3072021
Flamby: Datasets and benchmarks for cross-silo federated learning in realistic healthcare settings
J Ogier du Terrail, SS Ayed, E Cyffers, F Grimberg, C He, R Loeb, ...
Advances in Neural Information Processing Systems 35, 5315-5334, 2022
1352022
Throughput-optimal topology design for cross-silo federated learning
O Marfoq, C Xu, G Neglia, R Vidal
Advances in Neural Information Processing Systems 33, 19478-19487, 2020
1112020
Personalized federated learning through local memorization
O Marfoq, G Neglia, R Vidal, L Kameni
International Conference on Machine Learning, 15070-15092, 2022
1002022
Federated learning under heterogeneous and correlated client availability
A Rodio, F Faticanti, O Marfoq, G Neglia, E Leonardi
IEEE INFOCOM 2023-IEEE Conference on Computer Communications, 1-10, 2023
272023
Federated learning for data streams
O Marfoq, G Neglia, L Kameni, R Vidal
International Conference on Artificial Intelligence and Statistics, 8889-8924, 2023
172023
A Cautionary Tale: On the Role of Reference Data in Empirical Privacy Defenses
CG Kaplan, C Xu, O Marfoq, G Neglia, AS de Oliveira
arXiv preprint arXiv:2310.12112, 2023
32023
Tackling heterogeneity in federated learning systems
O Marfoq
Université Côte d'Azur, 2023
12023
Attribute Inference Attacks for Federated Regression Tasks
F Diana, O Marfoq, C Xu, G Neglia, F Giroire, E Thomas
arXiv preprint arXiv:2411.12697, 2024
2024
Count-Min Sketch with Conservative Updates: Worst-Case Analysis
YB Mazziane, O Marfoq
arXiv preprint arXiv:2405.12034, 2024
2024
Surmonter l'hétérogénéité dans les systèmes d'apprentissage fédéré
O Marfoq
Université Côte d'Azur, 2023
2023
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Articles 1–11