Aritra Mitra

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 68

Top Topics

Function Approximation

State Estimation

Hypothesis Testing

Bayesian Learning

Top Venues

Publications

Nicolò Dal Fabbro, Arman Adibi, H. Vincent Poor, Sanjeev R. Kulkarni, Aritra Mitra, George J. Pappas
DASA: Delay-Adaptive Multi-Agent Stochastic Approximation. CoRR (2024)
Chenyu Zhang, Han Wang, Aritra Mitra, James Anderson
Finite-Time Analysis of On-Policy Heterogeneous Federated Reinforcement Learning. ICLR (2024)
Han Wang, Aritra Mitra, Hamed Hassani, George J. Pappas, James Anderson
Federated TD Learning with Linear Function Approximation under Environmental Heterogeneity. Trans. Mach. Learn. Res. 2024 (2024)
Haoguang Yang, Aritra Mitra, Yanzhe Cui, Shreyas Sundaram, Xin Ma, Steve Sullivan, Richard M. Voyles
A Human-Augmenting Resource/Performance Co-Design Tool for Real-Time Distributed Control Systems. IEEE Trans. Syst. Man Cybern. Syst. 54 (8) (2024)
Arman Adibi, Nicolò Dal Fabbro, Luca Schenato, Sanjeev R. Kulkarni, H. Vincent Poor, George J. Pappas, Hamed Hassani, Aritra Mitra
Stochastic Approximation with Delayed Updates: Finite-Time Rates under Markovian Sampling. CoRR (2024)
Nicolò Dal Fabbro, Arman Adibi, Aritra Mitra, George J. Pappas
Finite-Time Analysis of Asynchronous Multi-Agent TD Learning. CoRR (2024)
Aritra Mitra
A Simple Finite-Time Analysis of TD Learning with Linear Function Approximation. CoRR (2024)
Aritra Mitra
Towards Robust Multi-Agent Reinforcement Learning. AAAI Spring Symposia (2024)
Arman Adibi, Nicolò Dal Fabbro, Luca Schenato, Sanjeev R. Kulkarni, H. Vincent Poor, George J. Pappas, Hamed Hassani, Aritra Mitra
Stochastic Approximation with Delayed Updates: Finite-Time Rates under Markovian Sampling. AISTATS (2024)
Aritra Mitra, Lintao Ye, Vijay Gupta
Towards Model-Free LQR Control over Rate-Limited Channels. CoRR (2024)
Chenyu Zhang, Han Wang, Aritra Mitra, James Anderson
Finite-Time Analysis of On-Policy Heterogeneous Federated Reinforcement Learning. CoRR (2024)
Aritra Mitra, George J. Pappas, Hamed Hassani
Temporal Difference Learning with Compressed Updates: Error-Feedback meets Reinforcement Learning. Trans. Mach. Learn. Res. 2024 (2024)
Aritra Mitra, Lintao Ye, Vijay Gupta
Towards model-free LQR control over rate-limited channels. L4DC (2024)
Nicolò Dal Fabbro, Aritra Mitra, George J. Pappas
Federated TD Learning over Finite-Rate Erasure Channels: Linear Speedup under Markovian Sampling. CoRR (2023)
Aritra Mitra
Assessing the Utility of C Comments with SVM and Naïve Bayes Classifier. FIRE (Working Notes) (2023)
Aritra Mitra, George J. Pappas, Hamed Hassani
Temporal Difference Learning with Compressed Updates: Error-Feedback meets Reinforcement Learning. CoRR (2023)
Nicolò Dal Fabbro, Aritra Mitra, George J. Pappas
Federated TD Learning Over Finite-Rate Erasure Channels: Linear Speedup Under Markovian Sampling. IEEE Control. Syst. Lett. 7 (2023)
Mohammad Pirani, Aritra Mitra, Shreyas Sundaram
Graph-theoretic approaches for analyzing the resilience of distributed control systems: A tutorial and survey. Autom. 157 (2023)
Aritra Mitra, Hamed Hassani, George J. Pappas
Linear Stochastic Bandits over a Bit-Constrained Channel. L4DC (2023)
Arman Adibi, Aritra Mitra, Hamed Hassani
Min-Max Optimization under Delays. CoRR (2023)
Han Wang, Aritra Mitra, Hamed Hassani, George J. Pappas, James Anderson
Federated Temporal Difference Learning with Linear Function Approximation under Environmental Heterogeneity. CoRR (2023)
Mohammad Pirani, Aritra Mitra, Shreyas Sundaram
A Survey of Graph-Theoretic Approaches for Analyzing the Resilience of Networked Control Systems. CoRR (2022)
Arman Adibi, Aritra Mitra, George J. Pappas, Hamed Hassani
Distributed Statistical Min-Max Learning in the Presence of Byzantine Agents. CoRR (2022)
Aritra Mitra, Arman Adibi, George J. Pappas, Hamed Hassani
Collaborative Linear Bandits with Adversarial Agents: Near-Optimal Regret Bounds. CoRR (2022)
Arman Adibi, Aritra Mitra, George J. Pappas, Hamed Hassani
Distributed Statistical Min-Max Learning in the Presence of Byzantine Agents. CDC (2022)
Yanwen Mao, Aritra Mitra, Shreyas Sundaram, Paulo Tabuada
On the computational complexity of the secure state-reconstruction problem. Autom. 136 (2022)
Aritra Mitra, Arman Adibi, George J. Pappas, Hamed Hassani
Collaborative Linear Bandits with Adversarial Agents: Near-Optimal Regret Bounds. NeurIPS (2022)
Aritra Mitra, Hamed Hassani, George J. Pappas
Linear Stochastic Bandits over a Bit-Constrained Channel. CoRR (2022)
Shreyas Sundaram, Aritra Mitra
Peer-to-Peer Non-Bayesian Learning in Finite Time with a Finite Amount of Communication. CDC (2022)
Aritra Mitra, John A. Richards, Saurabh Bagchi, Shreyas Sundaram
Distributed State Estimation Over Time-Varying Graphs: Exploiting the Age-of-Information. IEEE Trans. Autom. Control. 67 (12) (2022)
Aritra Mitra
Evaluating Usefulness of C Comments using SVM and Naïve Bayes Classifier. FIRE (Working Notes) (2022)
Lintao Ye, Aritra Mitra, Shreyas Sundaram
Near-Optimal Data Source Selection for Bayesian Learning. L4DC (2021)
Yanwen Mao, Aritra Mitra, Shreyas Sundaram, Paulo Tabuada
On the Computational Complexity of the Secure State-Reconstruction Problem. CoRR (2021)
Aritra Mitra, John A. Richards, Saurabh Bagchi, Shreyas Sundaram
Distributed Inference With Sparse and Quantized Communication. IEEE Trans. Signal Process. 69 (2021)
Aritra Mitra, Faiq Ghawash, Shreyas Sundaram, Waseem Abbas
On the Impacts of Redundancy, Diversity, and Trust in Resilient Distributed State Estimation. IEEE Trans. Control. Netw. Syst. 8 (2) (2021)
Aritra Mitra, Rayana H. Jaafar, George J. Pappas, Hamed Hassani
Achieving Linear Convergence in Federated Learning under Objective and Systems Heterogeneity. CoRR (2021)
Aritra Mitra, Rayana H. Jaafar, George J. Pappas, Hamed Hassani
Linear Convergence in Federated Learning: Tackling Client Heterogeneity and Sparse Gradients. NeurIPS (2021)
Aritra Mitra, Christian Gorenflo, Lukasz Golab, Srinivasan Keshav
TimeFabric: Trusted Time for Permissioned Blockchains. FAB (2021)
Aritra Mitra, Hamed Hassani, George J. Pappas
Exploiting Heterogeneity in Robust Federated Best-Arm Identification. CoRR (2021)
Aritra Mitra, Rayana H. Jaafar, George J. Pappas, Hamed Hassani
Federated Learning with Incrementally Aggregated Gradients. CDC (2021)
Aritra Mitra, John A. Richards, Shreyas Sundaram
A New Approach to Distributed Hypothesis Testing and Non-Bayesian Learning: Improved Learning Rate and Byzantine Resilience. IEEE Trans. Autom. Control. 66 (9) (2021)
Aritra Mitra, Hamed Hassani, George J. Pappas
Online Federated Learning. CDC (2021)
Aritra Mitra, John A. Richards, Saurabh Bagchi, Shreyas Sundaram
Distributed State Estimation over Time-Varying Graphs: Exploiting the Age-of-Information. CoRR (2020)
Shreyas Sundaram, Aritra Mitra
Distributed Hypothesis Testing and Social Learning in Finite Time with a Finite Amount of Communication. CoRR (2020)
Aritra Mitra, Saurabh Bagchi, Shreyas Sundaram
Event-Triggered Distributed Inference. CoRR (2020)
Aritra Mitra, Saurabh Bagchi, Shreyas Sundaram
Event-Triggered Distributed Inference. CDC (2020)
Lintao Ye, Aritra Mitra, Shreyas Sundaram
Near-Optimal Data Source Selection for Bayesian Learning. CoRR (2020)
Aritra Mitra, Faiq Ghawash, Shreyas Sundaram, Waseem Abbas
On the Impacts of Redundancy, Diversity, and Trust in Resilient Distributed State Estimation. CoRR (2020)
Aritra Mitra, John A. Richards, Shreyas Sundaram
A Communication-Efficient Algorithm for Exponentially Fast Non-Bayesian Learning in Networks. CDC (2019)
Aritra Mitra, John A. Richards, Saurabh Bagchi, Shreyas Sundaram
Resilient distributed state estimation with mobile agents: overcoming Byzantine adversaries, communication losses, and intermittent measurements. Auton. Robots 43 (3) (2019)
Aritra Mitra, John A. Richards, Shreyas Sundaram
A New Approach for Distributed Hypothesis Testing with Extensions to Byzantine-Resilience. CoRR (2019)
Aritra Mitra, Shreyas Sundaram
Byzantine-resilient distributed observers for LTI systems. Autom. 108 (2019)
Aritra Mitra, John A. Richards, Shreyas Sundaram
A New Approach for Distributed Hypothesis Testing with Extensions to Byzantine-Resilience. ACC (2019)
Yanwen Mao, Aritra Mitra, Shreyas Sundaram, Paulo Tabuada
When is the Secure State-Reconstruction Problem Hard? CDC (2019)
Aritra Mitra, John A. Richards, Shreyas Sundaram
A Communication-Efficient Algorithm for Exponentially Fast Non-Bayesian Learning in Networks. CoRR (2019)
Aritra Mitra, John A. Richards, Saurabh Bagchi, Shreyas Sundaram
Finite-Time Distributed State Estimation over Time-Varying Graphs: Exploiting the Age-of-Information. ACC (2019)
Aritra Mitra, John A. Richards, Shreyas Sundaram
A New Approach to Distributed Hypothesis Testing and Non-Bayesian Learning: Improved Learning Rate and Byzantine-Resilience. CoRR (2019)
Aritra Mitra, Shreyas Sundaram
Resilient Distributed State Estimation for LTI Systems. CoRR (2018)
Aritra Mitra, John A. Richards, Saurabh Bagchi, Shreyas Sundaram
Finite-Time Distributed State Estimation over Time-Varying Graphs: Exploiting the Age-of-Information. CoRR (2018)
Aritra Mitra, Shreyas Sundaram
Secure Distributed State Estimation of an LTI System over Time-Varying Networks and Analog Erasure Channels. CoRR (2018)
Aritra Mitra, Shreyas Sundaram
A Novel Switched Linear Observer for Estimating the State of a Dynamical Process with a Mobile Agent. CDC (2018)
Aritra Mitra, Shreyas Sundaram
Secure Distributed State Estimation of an LTI System Over Time-Varying Networks and Analog Erasure Channels. ACC (2018)
Aritra Mitra, Waseem Abbas, Shreyas Sundaram
On the Impact of Trusted Nodes in Resilient Distributed State Estimation of LTI Systems. CDC (2018)
Aritra Mitra, Shreyas Sundaram
Distributed Observers for LTI Systems. IEEE Trans. Autom. Control. 63 (11) (2018)
Aritra Mitra, Shreyas Sundaram
Distributed functional observers for LTI systems. CDC (2017)
Aritra Mitra, Shreyas Sundaram
Secure distributed observers for a class of linear time invariant systems in the presence of Byzantine adversaries. CDC (2016)
Aritra Mitra, Shreyas Sundaram
An approach for distributed state estimation of LTI systems. Allerton (2016)
Aritra Mitra, Shreyas Sundaram
Distributed Observers for LTI Systems. CoRR (2016)
Aritra Mitra, Laxmidhar Behera
Development of a Fuzzy Sliding Mode Controller with adaptive tuning technique for a MRI guided robot in the human vasculature. INDIN (2015)