| 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 | 203 | 2021 |
| 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 | 74 | 2020 |
| 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 | 66 | 2022 |
| Personalized federated learning through local memorization O Marfoq, G Neglia, R Vidal, L Kameni International Conference on Machine Learning, 15070-15092, 2022 | 63 | 2022 |
| 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 | 14 | 2023 |
| Federated learning for data streams O Marfoq, G Neglia, L Kameni, R Vidal International Conference on Artificial Intelligence and Statistics, 8889-8924, 2023 | 3 | 2023 |
| 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 | 1 | 2023 |
| Tackling heterogeneity in federated learning systems O Marfoq Université Côte d'Azur, 2023 | | 2023 |
| Surmonter l'hétérogénéité dans les systèmes d'apprentissage fédéré O Marfoq Université Côte d'Azur, 2023 | | 2023 |
Giovanni NegliaInria Sophia Antipolis MéditerranéeVerified email at inria.fr
