| Byzantine Machine Learning Made Easy by Resilient Averaging of Momentums S Farhadkhani, R Guerraoui, N Gupta, R Pinot, J Stephan ICML 2022, 2022 | 42 | 2022 |
| Collaborative Learning in the Jungle (Decentralized, Byzantine, Heterogeneous, Asynchronous and Nonconvex Learning) EM El-Mhamdi, S Farhadkhani, R Guerraoui, A Guirguis, LN Hoang, ... NeurIPS 2021, 2021 | 38 | 2021 |
| 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 |
| An Equivalence Between Data Poisoning and Byzantine Gradient Attacks S Farhadkhani, R Guerraoui, LN Hoang, O Villemaud ICML 2022, 2022 | 21* | 2022 |
| On the Impossible Safety of Large AI Models EM El-Mhamdi, S Farhadkhani, R Guerraoui, N Gupta, LN Hoang, R Pinot, ... arXiv preprint arXiv:2209.15259, 2022 | 14* | 2022 |
| On the Strategyproofness of the Geometric Median EM El-Mhamdi, S Farhadkhani, R Guerraoui, LN Hoang AISTATS 2023, 2023 | 13 | 2023 |
| Robust Collaborative Learning with Linear Gradient Overhead S Farhadkhani, R Guerraoui, N Gupta, LN Hoang, R Pinot, J Stephan ICML 2023, 2023 | 7* | 2023 |
| Epidemic Learning: Boosting Decentralized Learning with Randomized Communication M De Vos, S Farhadkhani, R Guerraoui, AM Kermarrec, R Pires, ... NeurIPS 2023, 2023 | 2 | 2023 |
| On the Relevance of Byzantine Robust Optimization Against Data Poisoning S Farhadkhani, R Guerraoui, N Gupta, R Pinot arXiv preprint arXiv:2405.00491, 2024 | | 2024 |
| Tackling Byzantine Clients in Federated Learning Y Allouah, S Farhadkhani, R GuerraouI, N Gupta, R Pinot, G Rizk, ... ICML 2024, 2024 | | 2024 |
| Generalized Bradley-Terry Models for Score Estimation from Paired Comparisons J Fageot, S Farhadkhani, LN Hoang, O Villemaud AAAI 2024, 2024 | | 2024 |
rachid guerraouiProfessor of Computer and Communication Systems, EPFLVerified email at epfl.ch
