Distributed Observers for LTI systems A Mitra, S Sundaram IEEE Transactions on Automatic Control, 2018 | 202 | 2018 |
Linear convergence in federated learning: Tackling client heterogeneity and sparse gradients A Mitra, R Jaafar, GJ Pappas, H Hassani Advances in Neural Information Processing Systems 34, 14606-14619, 2021 | 161* | 2021 |
Byzantine-Resilient Distributed Observers for LTI Systems A Mitra, S Sundaram Automatica 108, 2019 | 122 | 2019 |
Secure Distributed Observers for a Class of Linear Time Invariant Systems in the Presence of Byzantine Adversaries A Mitra, S Sundaram IEEE Conference on Decision and Control (CDC), 2016, 2016 | 64 | 2016 |
Resilient distributed state estimation with mobile agents: overcoming Byzantine adversaries, communication losses, and intermittent measurements A Mitra, JA Richards, S Bagchi, S Sundaram Autonomous Robots 43, 743-768, 2019 | 58 | 2019 |
A new approach to distributed hypothesis testing and non-bayesian learning: Improved learning rate and byzantine resilience A Mitra, JA Richards, S Sundaram IEEE Transactions on Automatic Control 66 (9), 4084-4100, 2020 | 49 | 2020 |
An approach for distributed state estimation of LTI systems A Mitra, S Sundaram Communication, Control, and Computing (Allerton), 2016 54th Annual Allerton …, 2016 | 35 | 2016 |
Secure Distributed State Estimation of an LTI System over Time-Varying Networks and Analog Erasure Channels A Mitra, S Sundaram American Control Conference (ACC), 2018, 2018 | 31 | 2018 |
Exploiting Heterogeneity in Robust Federated Best-Arm Identification A Mitra, H Hassani, G Pappas arXiv preprint arXiv:2109.05700, 2021 | 28* | 2021 |
Finite-Time Distributed State Estimation over Time-Varying Graphs: Exploiting the Age-of-Information A Mitra, JA Richards, S Bagchi, S Sundaram 2019 American Control Conference (ACC), 4006-4011, 2019 | 27 | 2019 |
Online federated learning A Mitra, H Hassani, GJ Pappas 2021 60th IEEE Conference on Decision and Control (CDC), 4083-4090, 2021 | 26 | 2021 |
A New Approach for Distributed Hypothesis Testing with Extensions to Byzantine-Resilience A Mitra, JA Richards, S Sundaram 2019 American Control Conference (ACC), 261-266, 2019 | 25 | 2019 |
On the computational complexity of the secure state-reconstruction problem Y Mao, A Mitra, S Sundaram, P Tabuada Automatica 136, 110083, 2022 | 24 | 2022 |
On the impact of trusted nodes in resilient distributed state estimation of LTI systems A Mitra, W Abbas, S Sundaram 2018 IEEE Conference on Decision and Control (CDC), 4547-4552, 2018 | 21 | 2018 |
Graph-theoretic approaches for analyzing the resilience of distributed control systems: A tutorial and survey M Pirani, A Mitra, S Sundaram Automatica 157, 111264, 2023 | 20* | 2023 |
When is the secure state-reconstruction problem hard? Y Mao, A Mitra, S Sundaram, P Tabuada 2019 IEEE 58th Conference on Decision and Control (CDC), 5368-5373, 2019 | 18 | 2019 |
A Communication-Efficient Algorithm for Exponentially Fast Non-Bayesian Learning in Networks A Mitra, JA Richards, S Sundaram 2019 IEEE 58th Conference on Decision and Control (CDC), 8347-8352, 2019 | 18 | 2019 |
On the impacts of redundancy, diversity, and trust in resilient distributed state estimation A Mitra, F Ghawash, S Sundaram, W Abbas IEEE Transactions on Control of Network Systems 8 (2), 713-724, 2021 | 15 | 2021 |
Distributed Inference with Sparse and Quantized Communication A Mitra, S Bagchi, S Sundaram IEEE Transactions on Signal Processing, 2021 | 14 | 2021 |
Model-free learning with heterogeneous dynamical systems: A federated LQR approach H Wang, LF Toso, A Mitra, J Anderson arXiv preprint arXiv:2308.11743, 2023 | 13 | 2023 |