| Fixing by Mixing: A Recipe for Optimal Byzantine ML under Heterogeneity Y Allouah, S Farhadkhani, R Guerraoui, N Gupta, R Pinot, J Stephan AISTATS 2023, 2023 | 30 | 2023 |
| On the Privacy-Robustness-Utility Trilemma in Distributed Learning Y Allouah, R Guerraoui, N Gupta, R Pinot, J Stephan ICML 2023, 2023 | 16 | 2023 |
| Robust Sparse Voting Y Allouah, R Guerraoui, LN Hoang, O Villemaud AISTATS 2024, 2024 | 5 | 2024 |
| Robust Distributed Learning: Tight Error Bounds and Breakdown Point under Data Heterogeneity Y Allouah, R Guerraoui, N Gupta, R Pinot, G Rizk NeurIPS 2023, 2023 | 3 | 2023 |
| Further results on latent discourse models and word embeddings S Khalife, D Gonçalves, Y Allouah, L Liberti JMLR, 2021 | 3* | 2021 |
| The Privacy Power of Correlated Noise in Decentralized Learning Y Allouah, A Koloskova, AE Firdoussi, M Jaggi, R Guerraoui ICML 2024, 2024 | | 2024 |
| Tackling Byzantine Clients in Federated Learning Y Allouah, S Farhadkhani, R Guerraoui, N Gupta, R Pinot, G Rizk, ... ICML 2024, 2024 | | 2024 |
