| 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 | 212 | 2022 |
| Privacy amplification by decentralization E Cyffers, A Bellet International conference on artificial intelligence and statistics, 5334-5353, 2022 | 82 | 2022 |
| Muffliato: Peer-to-peer privacy amplification for decentralized optimization and averaging E Cyffers, M Even, A Bellet, L Massoulié Advances in Neural Information Processing Systems 35, 15889-15902, 2022 | 42 | 2022 |
| Privacy attacks in decentralized learning AE Mrini, E Cyffers, A Bellet arXiv preprint arXiv:2402.10001, 2024 | 13 | 2024 |
| Differentially private decentralized learning with random walks E Cyffers, A Bellet, J Upadhyay arXiv preprint arXiv:2402.07471, 2024 | 13 | 2024 |
| From noisy fixed-point iterations to private ADMM for centralized and federated learning E Cyffers, A Bellet, D Basu International Conference on Machine Learning, 6683-6711, 2023 | 13 | 2023 |
| Optimal classification under performative distribution shift E Cyffers, MS Pydi, J Atif, O Cappé Advances in Neural Information Processing Systems 37, 68144-68160, 2024 | 8 | 2024 |
| DP-MicroAdam: Private and Frugal Algorithm for Training and Fine-tuning M Hudişteanu, NP Kalinin, E Cyffers arXiv preprint arXiv:2511.20509, 2025 | | 2025 |
| Setting is not the Issue in Differential Privacy E Cyffers arXiv preprint arXiv:2511.06305, 2025 | | 2025 |
| Unified Privacy Guarantees for Decentralized Learning via Matrix Factorization A Bellet, E Cyffers, D Frey, R Gaudel, D Lerévérend, F Taïani arXiv preprint arXiv:2510.17480, 2025 | | 2025 |
| Optimal Regularization for Performative Learning E Cyffers, A Mirrokni, M Mondelli arXiv preprint arXiv:2510.12249, 2025 | | 2025 |
| Fedivertex: a Graph Dataset based on Decentralized Social Networks for Trustworthy Machine Learning M Damie, E Cyffers arXiv preprint arXiv:2505.20882, 2025 | | 2025 |
| Differential Privacy for Decentralized Learning E Cyffers Université de Lille 1, Sciences et Technologies; CRIStAL UMR 9189, 2024 | | 2024 |
| La confidentialité différentielle: quelle quantification de la privacy dans le monde de l’apprentissage automatique? E Cyffers < bound method Organization. get_name_with_acronym of< Organization: DUMAS …, 2021 | | 2021 |
Aurélien BelletResearch scientist at InriaVerified email at inria.fr
