| Privacy in distributed average consensus N Gupta, J Katz, N Chopra IFAC-PapersOnLine 50 (1), 9515-9520, 2017 | 36 | 2017 |
| Fault-tolerance in distributed optimization: The case of redundancy N Gupta, NH Vaidya Proceedings of the 39th Symposium on Principles of Distributed Computing …, 2020 | 22 | 2020 |
| Byzantine fault tolerant distributed linear regression N Gupta, NH Vaidya arXiv preprint arXiv:1903.08752, 2019 | 19 | 2019 |
| On content modification attacks in bilateral teleoperation systems Y Dong, N Gupta, N Chopra 2016 American Control Conference (ACC), 316-321, 2016 | 17 | 2016 |
| 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 | 14 | 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 | 14 | 2019 |
| Resilience in collaborative optimization: Redundant and independent cost functions N Gupta, NH Vaidya arXiv preprint arXiv:2003.09675, 2020 | 11 | 2020 |
| Confidentiality in distributed average information consensus N Gupta, N Chopra 2016 IEEE 55th Conference on Decision and Control (CDC), 6709-6714, 2016 | 11 | 2016 |
| Byzantine fault-tolerant parallelized stochastic gradient descent for linear regression N Gupta, NH Vaidya 2019 57th Annual Allerton Conference on Communication, Control, and …, 2019 | 10 | 2019 |
| 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 | 9 | 2021 |
| 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 | 9 | 2020 |
| Iterative Pre-Conditioning to Expedite the Gradient-Descent Method K Chakrabarti, N Gupta, N Chopra 2020 American Control Conference (ACC), 3977-3982, 2020 | 8 | 2020 |
| Information-theoretic privacy in distributed average consensus N Gupta, J Katz, N Chopra arXiv preprint arXiv:1809.01794, 2018 | 7 | 2018 |
| 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 | 7 | 2016 |
| 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 | 6 | 2019 |
| Byzantine fault-tolerance in decentralized optimization under 2f-redundancy N Gupta, TT Doan, NH Vaidya 2021 American Control Conference (ACC), 3632-3637, 2021 | 5 | 2021 |
| 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 | 4 | 2020 |
| Randomized reactive redundancy for byzantine fault-tolerance in parallelized learning N Gupta, NH Vaidya arXiv preprint arXiv:1912.09528, 2019 | 4 | 2019 |
| 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 | 3 | 2021 |
| Byzantine fault-tolerance in federated local sgd under 2f-redundancy N Gupta, TT Doan, N Vaidya arXiv preprint arXiv:2108.11769, 2021 | 2 | 2021 |
Nikhil ChopraProfessor, Department of Mechanical Engineering, University of Maryland, College ParkEmail verificata su umd.edu
