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Nirupam Gupta
Nirupam Gupta
EPFL
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Privacy in distributed average consensus
N Gupta, J Katz, N Chopra
IFAC-PapersOnLine 50 (1), 9515-9520, 2017
482017
Fault-tolerance in distributed optimization: The case of redundancy
N Gupta, NH Vaidya
Proceedings of the 39th Symposium on Principles of Distributed Computing …, 2020
472020
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
392022
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
332021
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
272023
Byzantine fault tolerant distributed linear regression
N Gupta, NH Vaidya
arXiv preprint arXiv:1903.08752, 2019
272019
Byzantine fault-tolerance in decentralized optimization under 2f-redundancy
N Gupta, TT Doan, NH Vaidya
2021 American Control Conference (ACC), 3632-3637, 2021
252021
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
252019
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
242021
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
22*2021
Statistical Privacy in Distributed Average Consensus on Bounded Real Inputs
N Gupta, J Katz, N Chopra
2019 American Control Conference (ACC), 1836-1841, 2019
222019
On content modification attacks in bilateral teleoperation systems
Y Dong, N Gupta, N Chopra
2016 American Control Conference (ACC), 316-321, 2016
192016
Resilience in collaborative optimization: Redundant and independent cost functions
N Gupta, NH Vaidya
arXiv preprint arXiv:2003.09675, 2020
182020
Byzantine fault-tolerant parallelized stochastic gradient descent for linear regression
N Gupta, NH Vaidya
2019 57th Annual Allerton Conference on Communication, Control, and …, 2019
182019
Confidentiality in distributed average information consensus
N Gupta, N Chopra
2016 IEEE 55th conference on decision and control (CDC), 6709-6714, 2016
172016
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
142023
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
13*2022
Information-theoretic privacy in distributed average consensus
N Gupta, J Katz, N Chopra
arXiv preprint arXiv:1809.01794, 2018
122018
Byzantine fault-tolerance in peer-to-peer distributed gradient-descent
N Gupta, NH Vaidya
arXiv preprint arXiv:2101.12316, 2021
102021
Iterative Pre-Conditioning to Expedite the Gradient-Descent Method
K Chakrabarti, N Gupta, N Chopra
2020 American Control Conference (ACC), 3977-3982, 2020
102020
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Artikelen 1–20