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Aritra Mitra
Aritra Mitra
Assistant Professor of Electrical and Computer Engineering, North Carolina State University
ncsu.edu의 이메일 확인됨 - 홈페이지
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Distributed Observers for LTI systems
A Mitra, S Sundaram
IEEE Transactions on Automatic Control, 2018
1862018
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
129*2021
Byzantine-Resilient Distributed Observers for LTI Systems
A Mitra, S Sundaram
Automatica 108, 2019
116*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
592016
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
572019
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
452020
An approach for distributed state estimation of LTI systems
A Mitra, S Sundaram
Communication, Control, and Computing (Allerton), 2016 54th Annual Allerton …, 2016
322016
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
312018
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
292019
Exploiting Heterogeneity in Robust Federated Best-Arm Identification
A Mitra, H Hassani, G Pappas
arXiv preprint arXiv:2109.05700, 2021
24*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
242019
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
212018
On the computational complexity of the secure state-reconstruction problem
Y Mao, A Mitra, S Sundaram, P Tabuada
Automatica 136, 110083, 2022
202022
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
192019
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
182019
Online federated learning
A Mitra, H Hassani, GJ Pappas
2021 60th IEEE Conference on Decision and Control (CDC), 4083-4090, 2021
172021
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
152021
Distributed Inference with Sparse and Quantized Communication
A Mitra, S Bagchi, S Sundaram
IEEE Transactions on Signal Processing, 2021
132021
Event-triggered distributed inference
A Mitra, S Bagchi, S Sundaram
2020 59th IEEE Conference on Decision and Control (CDC), 6228-6233, 2020
112020
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
10*2023
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