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Nirupam Gupta
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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
692022
Privacy in distributed average consensus
N Gupta, J Katz, N Chopra
IFAC-PapersOnLine 50 (1), 9515-9520, 2017
612017
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
592023
Fault-tolerance in distributed optimization: The case of redundancy
N Gupta, NH Vaidya
Proceedings of the 39th Symposium on Principles of Distributed Computing …, 2020
582020
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
472021
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
372019
Byzantine machine learning: A primer
R Guerraoui, N Gupta, R Pinot
ACM Computing Surveys 56 (7), 1-39, 2024
352024
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
342021
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
282019
Byzantine fault-tolerance in decentralized optimization under 2f-redundancy
N Gupta, TT Doan, NH Vaidya
2021 American Control Conference (ACC), 3632-3637, 2021
272021
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
262023
Statistical Privacy in Distributed Average Consensus on Bounded Real Inputs
N Gupta, J Katz, N Chopra
2019 American Control Conference (ACC), 1836-1841, 2019
262019
Resilience in collaborative optimization: Redundant and independent cost functions
N Gupta, NH Vaidya
arXiv preprint arXiv:2003.09675, 2020
222020
Byzantine fault-tolerant parallelized stochastic gradient descent for linear regression
N Gupta, NH Vaidya
2019 57th Annual Allerton Conference on Communication, Control, and …, 2019
202019
Confidentiality in distributed average information consensus
N Gupta, N Chopra
2016 IEEE 55th conference on decision and control (CDC), 6709-6714, 2016
202016
On content modification attacks in bilateral teleoperation systems
Y Dong, N Gupta, N Chopra
2016 American Control Conference (ACC), 316-321, 2016
202016
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
162023
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