| 2025 | ICLR | Adaptive Gradient Clipping for Robust Federated Learning. | Youssef Allouah, Rachid Guerraoui, Nirupam Gupta, Ahmed Jellouli, Geovani Rizk, John Stephan |
| 2024 | ICML | Byzantine-Robust Federated Learning: Impact of Client Subsampling and Local Updates. | Youssef Allouah, Sadegh Farhadkhani, Rachid Guerraoui, Nirupam Gupta, Rafael Pinot, Geovani Rizk, Sasha Voitovych |
| 2024 | PODC | Brief Announcement: A Case for Byzantine Machine Learning. | Sadegh Farhadkhani, Rachid Guerraoui, Nirupam Gupta, Rafael Pinot |
| 2023 | AISTATS | Fixing by Mixing: A Recipe for Optimal Byzantine ML under Heterogeneity. | Youssef Allouah, Sadegh Farhadkhani, Rachid Guerraoui, Nirupam Gupta, Rafael Pinot, John Stephan |
| 2023 | ICDCN | Impact of Redundancy on Resilience in Distributed Optimization and Learning. | Shuo Liu, Nirupam Gupta, Nitin H. Vaidya |
| 2023 | ICML | On the Privacy-Robustness-Utility Trilemma in Distributed Learning. | Youssef Allouah, Rachid Guerraoui, Nirupam Gupta, Rafael Pinot, John Stephan |
| 2023 | ICML | Robust Collaborative Learning with Linear Gradient Overhead. | Sadegh Farhadkhani, Rachid Guerraoui, Nirupam Gupta, L-Nguyn Hoang, Rafael Pinot, John Stephan |
| 2022 | ICML | Byzantine Machine Learning Made Easy By Resilient Averaging of Momentums. | Sadegh Farhadkhani, Rachid Guerraoui, Nirupam Gupta, Rafael Pinot, John Stephan |
| 2022 | SRDS | Democratizing Machine Learning: Resilient Distributed Learning with Heterogeneous Participants. | Karim Boubouh, Amine Boussetta, Nirupam Gupta, Alexandre Maurer, Rafal Pinot |
| 2021 | DSN | Byzantine Fault-Tolerant Distributed Machine Learning with Norm-Based Comparative Gradient Elimination. | Nirupam Gupta, Shuo Liu, Nitin H. Vaidya |
| 2021 | PODC | Approximate Byzantine Fault-Tolerance in Distributed Optimization. | Shuo Liu, Nirupam Gupta, Nitin H. Vaidya |
| 2021 | PODC | Differential Privacy and Byzantine Resilience in SGD: Do They Add Up? | Rachid Guerraoui, Nirupam Gupta, Rafal Pinot, Sbastien Rouault, John Stephan |
| 2021 | SOSP | Redundancy in cost functions for Byzantine fault-tolerant federated learning. | Shuo Liu, Nirupam Gupta, Nitin H. Vaidya |
| 2020 | PODC | Fault-Tolerance in Distributed Optimization: The Case of Redundancy. | Nirupam Gupta, Nitin H. Vaidya |