default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDAritra Mitra
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2025
[j14]Aritra Mitra:
A Simple Finite-Time Analysis of TD Learning With Linear Function Approximation. IEEE Trans. Autom. Control. 70(2): 1388-1394 (2025)- [i32]Vinay Kanakeri, Aritra Mitra:
Outlier-Robust Linear System Identification Under Heavy-tailed Noise. CoRR abs/2501.00421 (2025) - 2024
- [j13]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) - [j12]Aritra Mitra, George J. Pappas, Hamed Hassani:
Temporal Difference Learning with Compressed Updates: Error-Feedback meets Reinforcement Learning. Trans. Mach. Learn. Res. 2024 (2024) - [j11]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): 5061-5073 (2024) - [c29]Aritra Mitra:
Towards Robust Multi-Agent Reinforcement Learning. AAAI Spring Symposia 2024: 308 - [c28]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: 2746-2754 - [c27]Arman Adibi, Aritra Mitra, Hamed Hassani:
Min-Max Optimization Under Delays. ACC 2024: 80-85 - [c26]Nicolò Dal Fabbro, Arman Adibi, Aritra Mitra, George J. Pappas:
Finite- Time Analysis of Asynchronous Multi-Agent TD Learning. ACC 2024: 2090-2097 - [c25]Chenyu Zhang, Han Wang, Aritra Mitra, James Anderson:
Finite-Time Analysis of On-Policy Heterogeneous Federated Reinforcement Learning. ICLR 2024 - [c24]Aritra Mitra, Lintao Ye, Vijay Gupta:
Towards model-free LQR control over rate-limited channels. L4DC 2024: 1253-1265 - [i31]Aritra Mitra, Lintao Ye, Vijay Gupta:
Towards Model-Free LQR Control over Rate-Limited Channels. CoRR abs/2401.01258 (2024) - [i30]Chenyu Zhang, Han Wang, Aritra Mitra, James Anderson:
Finite-Time Analysis of On-Policy Heterogeneous Federated Reinforcement Learning. CoRR abs/2401.15273 (2024) - [i29]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 abs/2402.11800 (2024) - [i28]Aritra Mitra:
A Simple Finite-Time Analysis of TD Learning with Linear Function Approximation. CoRR abs/2403.02476 (2024) - [i27]Nicolò Dal Fabbro, Arman Adibi, H. Vincent Poor, Sanjeev R. Kulkarni, Aritra Mitra, George J. Pappas:
DASA: Delay-Adaptive Multi-Agent Stochastic Approximation. CoRR abs/2403.17247 (2024) - [i26]Nicolò Dal Fabbro, Arman Adibi, Aritra Mitra, George J. Pappas:
Finite-Time Analysis of Asynchronous Multi-Agent TD Learning. CoRR abs/2407.20441 (2024) - [i25]Sreejeet Maity, Aritra Mitra:
Robust Q-Learning under Corrupted Rewards. CoRR abs/2409.03237 (2024) - [i24]Feng Zhu, Robert W. Heath Jr., Aritra Mitra:
Towards Fast Rates for Federated and Multi-Task Reinforcement Learning. CoRR abs/2409.05291 (2024) - 2023
- [j10]Mohammad Pirani, Aritra Mitra, Shreyas Sundaram:
Graph-theoretic approaches for analyzing the resilience of distributed control systems: A tutorial and survey. Autom. 157: 111264 (2023) - [j9]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: 2461-2466 (2023) - [c23]Aritra Mitra:
Assessing the Utility of C Comments with SVM and Naïve Bayes Classifier. FIRE (Working Notes) 2023: 689-695 - [c22]Aritra Mitra, Hamed Hassani, George J. Pappas:
Linear Stochastic Bandits over a Bit-Constrained Channel. L4DC 2023: 1387-1399 - [i23]Aritra Mitra, George J. Pappas, Hamed Hassani:
Temporal Difference Learning with Compressed Updates: Error-Feedback meets Reinforcement Learning. CoRR abs/2301.00944 (2023) - [i22]Han Wang, Aritra Mitra, Hamed Hassani, George J. Pappas, James Anderson:
Federated Temporal Difference Learning with Linear Function Approximation under Environmental Heterogeneity. CoRR abs/2302.02212 (2023) - [i21]Nicolò Dal Fabbro, Aritra Mitra, George J. Pappas:
Federated TD Learning over Finite-Rate Erasure Channels: Linear Speedup under Markovian Sampling. CoRR abs/2305.08104 (2023) - [i20]Arman Adibi, Aritra Mitra, Hamed Hassani:
Min-Max Optimization under Delays. CoRR abs/2307.06886 (2023) - 2022
- [j8]Yanwen Mao, Aritra Mitra, Shreyas Sundaram, Paulo Tabuada:
On the computational complexity of the secure state-reconstruction problem. Autom. 136: 110083 (2022) - [j7]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): 6349-6365 (2022) - [c21]Arman Adibi, Aritra Mitra, George J. Pappas, Hamed Hassani:
Distributed Statistical Min-Max Learning in the Presence of Byzantine Agents. CDC 2022: 4179-4184 - [c20]Shreyas Sundaram, Aritra Mitra:
Peer-to-Peer Non-Bayesian Learning in Finite Time with a Finite Amount of Communication. CDC 2022: 4565-4570 - [c19]Aritra Mitra:
Evaluating Usefulness of C Comments using SVM and Naïve Bayes Classifier. FIRE (Working Notes) 2022: 34-38 - [c18]Aritra Mitra, Arman Adibi, George J. Pappas, Hamed Hassani:
Collaborative Linear Bandits with Adversarial Agents: Near-Optimal Regret Bounds. NeurIPS 2022 - [i19]Aritra Mitra, Hamed Hassani, George J. Pappas:
Linear Stochastic Bandits over a Bit-Constrained Channel. CoRR abs/2203.01198 (2022) - [i18]Arman Adibi, Aritra Mitra, George J. Pappas, Hamed Hassani:
Distributed Statistical Min-Max Learning in the Presence of Byzantine Agents. CoRR abs/2204.03187 (2022) - [i17]Mohammad Pirani, Aritra Mitra, Shreyas Sundaram:
A Survey of Graph-Theoretic Approaches for Analyzing the Resilience of Networked Control Systems. CoRR abs/2205.12498 (2022) - [i16]Aritra Mitra, Arman Adibi, George J. Pappas, Hamed Hassani:
Collaborative Linear Bandits with Adversarial Agents: Near-Optimal Regret Bounds. CoRR abs/2206.02834 (2022) - 2021
- [j6]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): 4084-4100 (2021) - [j5]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): 713-724 (2021) - [j4]Aritra Mitra, John A. Richards, Saurabh Bagchi, Shreyas Sundaram:
Distributed Inference With Sparse and Quantized Communication. IEEE Trans. Signal Process. 69: 3906-3921 (2021) - [c17]Aritra Mitra, Rayana H. Jaafar, George J. Pappas, Hamed Hassani:
Federated Learning with Incrementally Aggregated Gradients. CDC 2021: 775-782 - [c16]Aritra Mitra, Hamed Hassani, George J. Pappas:
Online Federated Learning. CDC 2021: 4083-4090 - [c15]Aritra Mitra, Christian Gorenflo, Lukasz Golab, Srinivasan Keshav:
TimeFabric: Trusted Time for Permissioned Blockchains. FAB 2021: 4:1-4:15 - [c14]Lintao Ye, Aritra Mitra, Shreyas Sundaram:
Near-Optimal Data Source Selection for Bayesian Learning. L4DC 2021: 854-865 - [c13]Aritra Mitra, Rayana H. Jaafar, George J. Pappas, Hamed Hassani:
Linear Convergence in Federated Learning: Tackling Client Heterogeneity and Sparse Gradients. NeurIPS 2021: 14606-14619 - [i15]Yanwen Mao, Aritra Mitra, Shreyas Sundaram, Paulo Tabuada:
On the Computational Complexity of the Secure State-Reconstruction Problem. CoRR abs/2101.01827 (2021) - [i14]Aritra Mitra, Rayana H. Jaafar, George J. Pappas, Hamed Hassani:
Achieving Linear Convergence in Federated Learning under Objective and Systems Heterogeneity. CoRR abs/2102.07053 (2021) - [i13]Aritra Mitra, Hamed Hassani, George J. Pappas:
Exploiting Heterogeneity in Robust Federated Best-Arm Identification. CoRR abs/2109.05700 (2021) - 2020
- [c12]Aritra Mitra, Saurabh Bagchi, Shreyas Sundaram:
Event-Triggered Distributed Inference. CDC 2020: 6228-6233 - [i12]Aritra Mitra, John A. Richards, Saurabh Bagchi, Shreyas Sundaram:
Distributed State Estimation over Time-Varying Graphs: Exploiting the Age-of-Information. CoRR abs/2001.07006 (2020) - [i11]Aritra Mitra, Faiq Ghawash, Shreyas Sundaram, Waseem Abbas:
On the Impacts of Redundancy, Diversity, and Trust in Resilient Distributed State Estimation. CoRR abs/2001.07056 (2020) - [i10]Aritra Mitra, Saurabh Bagchi, Shreyas Sundaram:
Event-Triggered Distributed Inference. CoRR abs/2004.01302 (2020) - [i9]Shreyas Sundaram, Aritra Mitra:
Distributed Hypothesis Testing and Social Learning in Finite Time with a Finite Amount of Communication. CoRR abs/2004.01306 (2020) - [i8]Lintao Ye, Aritra Mitra, Shreyas Sundaram:
Near-Optimal Data Source Selection for Bayesian Learning. CoRR abs/2011.10712 (2020)
2010 – 2019
- 2019
- [j3]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): 743-768 (2019) - [j2]Aritra Mitra, Shreyas Sundaram:
Byzantine-resilient distributed observers for LTI systems. Autom. 108 (2019) - [c11]Aritra Mitra, John A. Richards, Shreyas Sundaram:
A New Approach for Distributed Hypothesis Testing with Extensions to Byzantine-Resilience. ACC 2019: 261-266 - [c10]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: 4006-4011 - [c9]Yanwen Mao, Aritra Mitra, Shreyas Sundaram, Paulo Tabuada:
When is the Secure State-Reconstruction Problem Hard? CDC 2019: 5368-5373 - [c8]Aritra Mitra, John A. Richards, Shreyas Sundaram:
A Communication-Efficient Algorithm for Exponentially Fast Non-Bayesian Learning in Networks. CDC 2019: 8347-8352 - [i7]Aritra Mitra, John A. Richards, Shreyas Sundaram:
A New Approach for Distributed Hypothesis Testing with Extensions to Byzantine-Resilience. CoRR abs/1903.05817 (2019) - [i6]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 abs/1907.03588 (2019) - [i5]Aritra Mitra, John A. Richards, Shreyas Sundaram:
A Communication-Efficient Algorithm for Exponentially Fast Non-Bayesian Learning in Networks. CoRR abs/1909.01505 (2019) - 2018
- [j1]Aritra Mitra, Shreyas Sundaram:
Distributed Observers for LTI Systems. IEEE Trans. Autom. Control. 63(11): 3689-3704 (2018) - [c7]Aritra Mitra, Shreyas Sundaram:
Secure Distributed State Estimation of an LTI System Over Time-Varying Networks and Analog Erasure Channels. ACC 2018: 6578-6583 - [c6]Aritra Mitra, Waseem Abbas, Shreyas Sundaram:
On the Impact of Trusted Nodes in Resilient Distributed State Estimation of LTI Systems. CDC 2018: 4547-4552 - [c5]Aritra Mitra, Shreyas Sundaram:
A Novel Switched Linear Observer for Estimating the State of a Dynamical Process with a Mobile Agent. CDC 2018: 4637-4642 - [i4]Aritra Mitra, Shreyas Sundaram:
Secure Distributed State Estimation of an LTI System over Time-Varying Networks and Analog Erasure Channels. CoRR abs/1801.08912 (2018) - [i3]Aritra Mitra, Shreyas Sundaram:
Resilient Distributed State Estimation for LTI Systems. CoRR abs/1802.09651 (2018) - [i2]Aritra Mitra, John A. Richards, Saurabh Bagchi, Shreyas Sundaram:
Finite-Time Distributed State Estimation over Time-Varying Graphs: Exploiting the Age-of-Information. CoRR abs/1810.06151 (2018) - 2017
- [c4]Aritra Mitra, Shreyas Sundaram:
Distributed functional observers for LTI systems. CDC 2017: 3519-3524 - 2016
- [c3]Aritra Mitra, Shreyas Sundaram:
An approach for distributed state estimation of LTI systems. Allerton 2016: 1088-1093 - [c2]Aritra Mitra, Shreyas Sundaram:
Secure distributed observers for a class of linear time invariant systems in the presence of Byzantine adversaries. CDC 2016: 2709-2714 - [i1]Aritra Mitra, Shreyas Sundaram:
Distributed Observers for LTI Systems. CoRR abs/1608.01429 (2016) - 2015
- [c1]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: 370-377
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-02-20 20:42 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
