Aritra Mitra

According to our database, Aritra Mitra authored at least 52 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A Human-Augmenting Resource/Performance Co-Design Tool for Real-Time Distributed Control Systems.

Haoguang Yang, Aritra Mitra, Yanzhe Cui, Shreyas Sundaram, Xin Ma, Steve Sullivan, Richard M. Voyles

IEEE Trans. Syst. Man Cybern. Syst., August, 2024

Temporal Difference Learning with Compressed Updates: Error-Feedback meets Reinforcement Learning.

Aritra Mitra, George J. Pappas, Hamed Hassani

Trans. Mach. Learn. Res., 2024

Federated TD Learning with Linear Function Approximation under Environmental Heterogeneity.

Han Wang, Aritra Mitra, Hamed Hassani, George J. Pappas, James Anderson

Trans. Mach. Learn. Res., 2024

Towards Fast Rates for Federated and Multi-Task Reinforcement Learning.

Feng Zhu, Robert W. Heath Jr., Aritra Mitra

CoRR, 2024

Robust Q-Learning under Corrupted Rewards.

Sreejeet Maity, Aritra Mitra

CoRR, 2024

DASA: Delay-Adaptive Multi-Agent Stochastic Approximation.

Nicolò Dal Fabbro, Arman Adibi, H. Vincent Poor, Sanjeev R. Kulkarni, Aritra Mitra, George J. Pappas

CoRR, 2024

A Simple Finite-Time Analysis of TD Learning with Linear Function Approximation.

Aritra Mitra

CoRR, 2024

Towards model-free LQR control over rate-limited channels.

Aritra Mitra, Lintao Ye, Vijay Gupta

Proceedings of the 6th Annual Learning for Dynamics & Control Conference, 2024

Finite-Time Analysis of On-Policy Heterogeneous Federated Reinforcement Learning.

Chenyu Zhang, Han Wang, Aritra Mitra, James Anderson

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Finite- Time Analysis of Asynchronous Multi-Agent TD Learning.

Nicolò Dal Fabbro, Arman Adibi, Aritra Mitra, George J. Pappas

Proceedings of the American Control Conference, 2024

Min-Max Optimization Under Delays.

Arman Adibi, Aritra Mitra, Hamed Hassani

Proceedings of the American Control Conference, 2024

Stochastic Approximation with Delayed Updates: Finite-Time Rates under Markovian Sampling.

Arman Adibi, Nicolò Dal Fabbro, Luca Schenato, Sanjeev R. Kulkarni, H. Vincent Poor, George J. Pappas, Hamed Hassani, Aritra Mitra

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

Towards Robust Multi-Agent Reinforcement Learning.

Aritra Mitra

Proceedings of the AAAI 2024 Spring Symposium Series, 2024

2023

Graph-theoretic approaches for analyzing the resilience of distributed control systems: A tutorial and survey.

Mohammad Pirani, Aritra Mitra, Shreyas Sundaram

Autom., November, 2023

Federated TD Learning Over Finite-Rate Erasure Channels: Linear Speedup Under Markovian Sampling.

Nicolò Dal Fabbro, Aritra Mitra, George J. Pappas

IEEE Control. Syst. Lett., 2023

Federated Temporal Difference Learning with Linear Function Approximation under Environmental Heterogeneity.

Han Wang, Aritra Mitra, Hamed Hassani, George J. Pappas, James Anderson

CoRR, 2023

Linear Stochastic Bandits over a Bit-Constrained Channel.

Aritra Mitra, Hamed Hassani, George J. Pappas

Proceedings of the Learning for Dynamics and Control Conference, 2023

Assessing the Utility of C Comments with SVM and Naïve Bayes Classifier.

Aritra Mitra

Proceedings of the Working Notes of FIRE 2023, 2023

2022

Distributed State Estimation Over Time-Varying Graphs: Exploiting the Age-of-Information.

Aritra Mitra, John A. Richards, Saurabh Bagchi, Shreyas Sundaram

IEEE Trans. Autom. Control., 2022

A Survey of Graph-Theoretic Approaches for Analyzing the Resilience of Networked Control Systems.

Mohammad Pirani, Aritra Mitra, Shreyas Sundaram

CoRR, 2022

On the computational complexity of the secure state-reconstruction problem.

Yanwen Mao, Aritra Mitra, Shreyas Sundaram, Paulo Tabuada

Autom., 2022

Collaborative Linear Bandits with Adversarial Agents: Near-Optimal Regret Bounds.

Aritra Mitra, Arman Adibi, George J. Pappas, Hamed Hassani

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Evaluating Usefulness of C Comments using SVM and Naïve Bayes Classifier.

Aritra Mitra

Proceedings of the Working Notes of FIRE 2022, 2022

Peer-to-Peer Non-Bayesian Learning in Finite Time with a Finite Amount of Communication.

Shreyas Sundaram, Aritra Mitra

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Distributed Statistical Min-Max Learning in the Presence of Byzantine Agents.

Arman Adibi, Aritra Mitra, George J. Pappas, Hamed Hassani

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021

Distributed Inference With Sparse and Quantized Communication.

Aritra Mitra, John A. Richards, Saurabh Bagchi, Shreyas Sundaram

IEEE Trans. Signal Process., 2021

On the Impacts of Redundancy, Diversity, and Trust in Resilient Distributed State Estimation.

Aritra Mitra, Faiq Ghawash, Shreyas Sundaram, Waseem Abbas

IEEE Trans. Control. Netw. Syst., 2021

A New Approach to Distributed Hypothesis Testing and Non-Bayesian Learning: Improved Learning Rate and Byzantine Resilience.

Aritra Mitra, John A. Richards, Shreyas Sundaram

IEEE Trans. Autom. Control., 2021

Exploiting Heterogeneity in Robust Federated Best-Arm Identification.

Aritra Mitra, Hamed Hassani, George J. Pappas

CoRR, 2021

Achieving Linear Convergence in Federated Learning under Objective and Systems Heterogeneity.

Aritra Mitra, Rayana H. Jaafar, George J. Pappas, Hamed Hassani

CoRR, 2021

Linear Convergence in Federated Learning: Tackling Client Heterogeneity and Sparse Gradients.

Aritra Mitra, Rayana H. Jaafar, George J. Pappas, Hamed Hassani

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Near-Optimal Data Source Selection for Bayesian Learning.

Lintao Ye, Aritra Mitra, Shreyas Sundaram

Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021

TimeFabric: Trusted Time for Permissioned Blockchains.

Aritra Mitra, Christian Gorenflo, Lukasz Golab, Srinivasan Keshav

Proceedings of the 4th International Symposium on Foundations and Applications of Blockchain 2021, 2021

Federated Learning with Incrementally Aggregated Gradients.

Aritra Mitra, Rayana H. Jaafar, George J. Pappas, Hamed Hassani

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Online Federated Learning.

Aritra Mitra, Hamed Hassani, George J. Pappas

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020

Distributed Hypothesis Testing and Social Learning in Finite Time with a Finite Amount of Communication.

Shreyas Sundaram, Aritra Mitra

CoRR, 2020

Event-Triggered Distributed Inference.

Aritra Mitra, Saurabh Bagchi, Shreyas Sundaram

Proceedings of the 59th IEEE Conference on Decision and Control, 2020

2019

Byzantine-resilient distributed observers for LTI systems.

Aritra Mitra, Shreyas Sundaram

Autom., 2019

Resilient distributed state estimation with mobile agents: overcoming Byzantine adversaries, communication losses, and intermittent measurements.

Aritra Mitra, John A. Richards, Saurabh Bagchi, Shreyas Sundaram

Auton. Robots, 2019

A Communication-Efficient Algorithm for Exponentially Fast Non-Bayesian Learning in Networks.

Aritra Mitra, John A. Richards, Shreyas Sundaram

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

When is the Secure State-Reconstruction Problem Hard?

Yanwen Mao, Aritra Mitra, Shreyas Sundaram, Paulo Tabuada

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

A New Approach for Distributed Hypothesis Testing with Extensions to Byzantine-Resilience.

Aritra Mitra, John A. Richards, Shreyas Sundaram

Proceedings of the 2019 American Control Conference, 2019

Finite-Time Distributed State Estimation over Time-Varying Graphs: Exploiting the Age-of-Information.

Aritra Mitra, John A. Richards, Saurabh Bagchi, Shreyas Sundaram

Proceedings of the 2019 American Control Conference, 2019

2018

Distributed Observers for LTI Systems.

Aritra Mitra, Shreyas Sundaram

IEEE Trans. Autom. Control., 2018

Resilient Distributed State Estimation for LTI Systems.

Aritra Mitra, Shreyas Sundaram

CoRR, 2018

A Novel Switched Linear Observer for Estimating the State of a Dynamical Process with a Mobile Agent.

Aritra Mitra, Shreyas Sundaram

Proceedings of the 57th IEEE Conference on Decision and Control, 2018

On the Impact of Trusted Nodes in Resilient Distributed State Estimation of LTI Systems.

Aritra Mitra, Waseem Abbas, Shreyas Sundaram

Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Secure Distributed State Estimation of an LTI System Over Time-Varying Networks and Analog Erasure Channels.

Aritra Mitra, Shreyas Sundaram

Proceedings of the 2018 Annual American Control Conference, 2018

2017

Distributed functional observers for LTI systems.

Aritra Mitra, Shreyas Sundaram

Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

2016

Secure distributed observers for a class of linear time invariant systems in the presence of Byzantine adversaries.

Aritra Mitra, Shreyas Sundaram

Proceedings of the 55th IEEE Conference on Decision and Control, 2016

An approach for distributed state estimation of LTI systems.

Aritra Mitra, Shreyas Sundaram

Proceedings of the 54th Annual Allerton Conference on Communication, 2016

2015

Development of a Fuzzy Sliding Mode Controller with adaptive tuning technique for a MRI guided robot in the human vasculature.

Aritra Mitra, Laxmidhar Behera

Proceedings of the 13th IEEE International Conference on Industrial Informatics, 2015