| Byzantine Machine Learning Made Easy by Resilient Averaging of Momentums S Farhadkhani, R Guerraoui, N Gupta, R Pinot, J Stephan Proceedings of the 39th International Conference on Machine Learning 162 …, 2022 | 69 | 2022 |
| Privacy in distributed average consensus N Gupta, J Katz, N Chopra IFAC-PapersOnLine 50 (1), 9515-9520, 2017 | 61 | 2017 |
| Fixing by Mixing: A Recipe for Optimal Byzantine ML under Heterogeneity Y Allouah, S Farhadkhani, R Guerraoui, N Gupta, R Pinot, J Stephan International Conference on Artificial Intelligence and Statistics, 1232-1300, 2023 | 59 | 2023 |
| Fault-tolerance in distributed optimization: The case of redundancy N Gupta, NH Vaidya Proceedings of the 39th Symposium on Principles of Distributed Computing …, 2020 | 58 | 2020 |
| Approximate Byzantine Fault-Tolerance in Distributed Optimization S Liu, N Gupta, NH Vaidya PODC'21: Proceedings of the 2021 ACM Symposium on Principles of Distributed …, 2021 | 47 | 2021 |
| False data injection attacks in bilateral teleoperation systems Y Dong, N Gupta, N Chopra IEEE Transactions on Control Systems Technology 28 (3), 1168-1176, 2019 | 37 | 2019 |
| Byzantine machine learning: A primer R Guerraoui, N Gupta, R Pinot ACM Computing Surveys 56 (7), 1-39, 2024 | 35 | 2024 |
| Differential Privacy and Byzantine Resilience in SGD: Do They Add Up? R Guerraoui, N Gupta, R Pinot, S Rouault, J Stephan PODC'21: Proceedings of the 2021 ACM Symposium on Principles of Distributed …, 2021 | 34 | 2021 |
| On the Impossible Safety of Large AI Models EM El-Mhamdi, S Farhadkhani, R Guerraoui, N Gupta, LN Hoang, R Pinot, ... https://arxiv.org/abs/2209.15259, 2022 | 31* | 2022 |
| Byzantine fault-tolerant distributed machine learning with norm-based comparative gradient elimination N Gupta, S Liu, N Vaidya 2021 51st Annual IEEE/IFIP International Conference on Dependable Systems …, 2021 | 28* | 2021 |
| Byzantine fault tolerant distributed linear regression N Gupta, NH Vaidya arXiv preprint arXiv:1903.08752, 2019 | 28 | 2019 |
| Byzantine fault-tolerance in decentralized optimization under 2f-redundancy N Gupta, TT Doan, NH Vaidya 2021 American Control Conference (ACC), 3632-3637, 2021 | 27 | 2021 |
| On the Privacy-Robustness-Utility Trilemma in Distributed Learning Y Allouah, R Guerraoui, N Gupta, R Pinot, J Stephan Proceedings of the 40th International Conference on Machine Learning, 2023 | 26 | 2023 |
| Statistical Privacy in Distributed Average Consensus on Bounded Real Inputs N Gupta, J Katz, N Chopra 2019 American Control Conference (ACC), 1836-1841, 2019 | 26 | 2019 |
| Resilience in collaborative optimization: Redundant and independent cost functions N Gupta, NH Vaidya arXiv preprint arXiv:2003.09675, 2020 | 22 | 2020 |
| Byzantine fault-tolerant parallelized stochastic gradient descent for linear regression N Gupta, NH Vaidya 2019 57th Annual Allerton Conference on Communication, Control, and …, 2019 | 20 | 2019 |
| Confidentiality in distributed average information consensus N Gupta, N Chopra 2016 IEEE 55th conference on decision and control (CDC), 6709-6714, 2016 | 20 | 2016 |
| On content modification attacks in bilateral teleoperation systems Y Dong, N Gupta, N Chopra 2016 American Control Conference (ACC), 316-321, 2016 | 20 | 2016 |
| Robust Collaborative Learning with Linear Gradient Overhead S Farhadkhani, R Guerraoui, N Gupta, LN Hoang, R Pinot, J Stephan Proceedings of the 40th International Conference on Machine Learning, 2023 | 18* | 2023 |
| Robust distributed learning: Tight error bounds and breakdown point under data heterogeneity Y Allouah, R Guerraoui, N Gupta, R Pinot, G Rizk Advances in Neural Information Processing Systems 36, 45744-45776, 2023 | 16 | 2023 |
rachid guerraouiProfessor of Computer and Communication Systems, EPFLVerified email at epfl.ch
