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Nirupam Gupta
Nirupam Gupta
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Anno
Privacy in distributed average consensus
N Gupta, J Katz, N Chopra
IFAC-PapersOnLine 50 (1), 9515-9520, 2017
362017
Fault-tolerance in distributed optimization: The case of redundancy
N Gupta, NH Vaidya
Proceedings of the 39th Symposium on Principles of Distributed Computing …, 2020
222020
Byzantine fault tolerant distributed linear regression
N Gupta, NH Vaidya
arXiv preprint arXiv:1903.08752, 2019
192019
On content modification attacks in bilateral teleoperation systems
Y Dong, N Gupta, N Chopra
2016 American Control Conference (ACC), 316-321, 2016
172016
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
142021
Statistical Privacy in Distributed Average Consensus on Bounded Real Inputs
N Gupta, J Katz, N Chopra
2019 American Control Conference (ACC), 1836-1841, 2019
142019
Resilience in collaborative optimization: Redundant and independent cost functions
N Gupta, NH Vaidya
arXiv preprint arXiv:2003.09675, 2020
112020
Confidentiality in distributed average information consensus
N Gupta, N Chopra
2016 IEEE 55th Conference on Decision and Control (CDC), 6709-6714, 2016
112016
Byzantine fault-tolerant parallelized stochastic gradient descent for linear regression
N Gupta, NH Vaidya
2019 57th Annual Allerton Conference on Communication, Control, and …, 2019
102019
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
92021
Byzantine fault-tolerant distributed machine learning using stochastic gradient descent (sgd) and norm-based comparative gradient elimination (cge)
N Gupta, S Liu, NH Vaidya
arXiv preprint arXiv:2008.04699, 2020
92020
Iterative Pre-Conditioning to Expedite the Gradient-Descent Method
K Chakrabarti, N Gupta, N Chopra
2020 American Control Conference (ACC), 3977-3982, 2020
82020
Information-theoretic privacy in distributed average consensus
N Gupta, J Katz, N Chopra
arXiv preprint arXiv:1809.01794, 2018
72018
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), 116305, 2016
72016
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
62019
Byzantine fault-tolerance in decentralized optimization under 2f-redundancy
N Gupta, TT Doan, NH Vaidya
2021 American Control Conference (ACC), 3632-3637, 2021
52021
Iterative pre-conditioning for expediting the gradient-descent method: The distributed linear least-squares problem
K Chakrabarti, N Gupta, N Chopra
arXiv preprint arXiv:2008.02856, 2020
42020
Randomized reactive redundancy for byzantine fault-tolerance in parallelized learning
N Gupta, NH Vaidya
arXiv preprint arXiv:1912.09528, 2019
42019
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
32021
Byzantine fault-tolerance in federated local sgd under 2f-redundancy
N Gupta, TT Doan, N Vaidya
arXiv preprint arXiv:2108.11769, 2021
22021
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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