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Nirupam Gupta
Nirupam Gupta
EPFL
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Titel
Zitiert von
Zitiert von
Jahr
Privacy in distributed average consensus
N Gupta, J Katz, N Chopra
IFAC-PapersOnLine 50 (1), 9515-9520, 2017
432017
Fault-tolerance in distributed optimization: The case of redundancy
N Gupta, NH Vaidya
Proceedings of the 39th Symposium on Principles of Distributed Computing …, 2020
382020
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
272021
Byzantine fault tolerant distributed linear regression
N Gupta, NH Vaidya
arXiv preprint arXiv:1903.08752, 2019
252019
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
212022
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
21*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
202019
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
192021
On content modification attacks in bilateral teleoperation systems
Y Dong, N Gupta, N Chopra
2016 American Control Conference (ACC), 316-321, 2016
192016
Byzantine fault-tolerance in decentralized optimization under 2f-redundancy
N Gupta, TT Doan, NH Vaidya
2021 American Control Conference (ACC), 3632-3637, 2021
182021
Resilience in collaborative optimization: Redundant and independent cost functions
N Gupta, NH Vaidya
arXiv preprint arXiv:2003.09675, 2020
172020
Statistical Privacy in Distributed Average Consensus on Bounded Real Inputs
N Gupta, J Katz, N Chopra
2019 American Control Conference (ACC), 1836-1841, 2019
172019
Confidentiality in distributed average information consensus
N Gupta, N Chopra
2016 IEEE 55th conference on decision and control (CDC), 6709-6714, 2016
162016
Byzantine fault-tolerant parallelized stochastic gradient descent for linear regression
N Gupta, NH Vaidya
2019 57th Annual Allerton Conference on Communication, Control, and …, 2019
152019
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
Information-theoretic privacy in distributed average consensus
N Gupta, J Katz, N Chopra
arXiv preprint arXiv:1809.01794, 2018
92018
Content modification attacks on consensus seeking multi-agent system with double-integrator dynamics
Y Dong, N Gupta, N Chopra
Chaos: An Interdisciplinary Journal of Nonlinear Science 26 (11), 2016
82016
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
72023
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
7*2022
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