Publications
Preprints
- A Simple Finite-Time Analysis of TD Learning with Linear Function Approximation [arXiv]
Aritra Mitra
- Federated Temporal Difference Learning with Linear Function Approximation under Environmental Heterogeneity [arXiv]
Han Wang, Aritra Mitra, Hamed Hassani, George J. Pappas, and James Anderson
Journal Papers
- Temporal Difference Learning with Compressed Updates: Error-Feedback Meets Reinforcement Learning
Aritra Mitra, George J. Pappas, and Hamed Hassani
Transactions on Machine Learning Research (TMLR), 2024. [Link] - A Survey of Graph-Theoretic Approaches for Analyzing the Resilience of Networked Control Systems
Mohammad Pirani, Aritra Mitra, and Shreyas Sundaram
Automatica, 2023. [arXiv] - Federated TD Learning over Finite-Rate Erasure Channels: Linear Speedup under Markovian Sampling
Nicolo Dal Fabbro, Aritra Mitra and George Pappas
IEEE Control Systems Letters, 2023. [arXiv] - Distributed State Estimation over Time-Varying Graphs: Exploiting the Age-of-Information
Aritra Mitra, John A. Richards, Saurabh Bagchi and Shreyas Sundaram
IEEE Transactions on Automatic Control, 2022. [arXiv] [ieeeexplore] - On the Computational Complexity of the Secure State-Reconstruction Problem
Yanwen Mao, Aritra Mitra, Shreyas Sundaram and Paulo Tabuada
Automatica, 2022. [arXiv] [link] - Distributed Inference with Sparse and Quantized Communication
Aritra Mitra, John A. Richards, Saurabh Bagchi and Shreyas Sundaram
IEEE Transactions on Signal Processing, 2021. [arXiv] [ ieeeexplore ] - On the Impacts of Redundancy, Diversity, and Trust in Resilient Distributed State Estimation
Aritra Mitra, Faiq Ghawash, Shreyas Sundaram and Waseem Abbas
IEEE Transactions on Control of Network Systems, 2020. [ieeeexplore] - A New Approach to Distributed Hypothesis Testing and Non-Bayesian Learning: Improved Learning Rate and Byzantine-Resilience
Aritra Mitra, John A. Richards and Shreyas Sundaram
IEEE Transactions on Automatic Control, 2020. [arXiv] [ ieeeexplore ] - Byzantine-Resilient Distributed Observers for LTI Systems
Aritra Mitra and Shreyas Sundaram
Automatica, 2019. [arXiv] [ link ] - Resilient Distributed State Estimation with Mobile Agents: Overcoming Byzantine Adversaries, Communication Losses, and Intermittent Measurements
Aritra Mitra, John A. Richards, Saurabh Bagchi and Shreyas Sundaram
Autonomous Robots: Special Issue on Foundations of Resilience for Networked Robotic Systems, 2019. [link] - Distributed Observers for LTI Systems
Aritra Mitra and Shreyas Sundaram
IEEE Transactions on Automatic Control, 2018. [pdf] [ ieeeexplore ]
Peer-Reviewed Conference Papers
- Towards Model-Free LQR Control over Rate-Limited Channels
Aritra Mitra*, Lintao Ye*, and Vijay Gupta
6th Annual Learning for Dynamics & Control Conference (L4DC), 2024, Oxford, UK. [arXiv]
(Selected for Oral Presentation, Top 7.5%) - Stochastic Approximation with Delayed Updates: Finite-Time Rates under Markovian Sampling
Arman Adibi*, Nicolò Dal Fabbro*, Luca Schenato, Sanjeev Kulkarni, H. Vincent Poor, George J. Pappas, Hamed Hassani, and Aritra Mitra
27th International Conference on Artificial Intelligence and Statistics (AISTATS), 2024, Valencia, Spain. [arXiv] - Finite-Time Analysis of On-Policy Heterogeneous Federated Reinforcement Learning
Chenyu Zhang, Han Wang, Aritra Mitra, and James Anderson
12th International Conference on Learning Representations (ICLR), 2024, Vienna, Austria. [Link] - Min-Max Optimization under Delays
Arman Adibi, Aritra Mitra, and Hamed Hassani
American Control Conference (ACC), 2024, Toronto, Canada. [arXiv] - Finite-Time Analysis of Asynchronous Multi-Agent TD Learning
Nicolò Dal Fabbro, Arman Adibi, Aritra Mitra, and George J. Pappas
American Control Conference (ACC), 2024, Toronto, Canada. - Linear Stochastic Bandits over a Bit-Constrained Channel
Aritra Mitra, Hamed Hassani, and George J. Pappas
5th Annual Learning for Dynamics and Control Conference (L4DC), 2023,
Philadelphia, USA. [arXiv]
(One of 16/167 papers selected for Oral Presentation) - Collaborative Linear Bandits with Adversarial Agents: Near-Optimal Regret Bounds
Aritra Mitra*, Arman Adibi*, George J. Pappas, and Hamed Hassani
Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS), 2022. [arXiv] - Distributed Statistical Min-Max Learning in the Presence of Byzantine Agents
Arman Adibi*, Aritra Mitra*, George J. Pappas, and Hamed Hassani
61st IEEE Decision and Control Conference (CDC), 2022, Cancun, Mexico. [arXiv] - Distributed Hypothesis Testing and Social Learning in Finite Time with a Finite Amount of Communication
Shreyas Sundaram and Aritra Mitra
61st IEEE Decision and Control Conference (CDC), 2022, Cancun, Mexico. - Linear Convergence in Federated Learning: Tackling Client Heterogeneity and Sparse Gradients
Aritra Mitra, Rayana Jaafar, George J. Pappas and Hamed Hassani
Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS), 2021. [arXiv] [Link] [Poster] [Talk at Google FL Workshop] - Online Federated Learning
Aritra Mitra, Hamed Hassani, and George J. Pappas
60th IEEE Decision and Control Conference (CDC), 2021, Austin, Texas, USA. - Federated Learning with Incrementally Aggregated Gradients
Aritra Mitra*, Rayana Jaafar*, George J. Pappas and Hamed Hassani
60th IEEE Decision and Control Conference (CDC), 2021, Austin, Texas, USA. - Near-Optimal Data Source Selection for Bayesian Learning
Lintao Ye, Aritra Mitra and Shreyas Sundaram
3rd Annual Learning for Dynamics and Control Conference (L4DC), 2021, ETH Zurich, Switzerland. [arXiv] - Event-Triggered Distributed Inference
Aritra Mitra, Saurabh Bagchi and Shreyas Sundaram
59th IEEE Decision and Control Conference (CDC), 2020, Jeju Island, Republic of Korea. - A Communication-Efficient Algorithm for Exponentially Fast Non-Bayesian Learning in Networks
Aritra Mitra, John A. Richards and Shreyas Sundaram
58th IEEE Decision and Control Conference (CDC), 2019, Nice, France. [arXiv] - When is the Secure State-Reconstruction Problem Hard?
Yanwen Mao, Aritra Mitra, Shreyas Sundaram and Paulo Tabuada
58th IEEE Decision and Control Conference (CDC), 2019, Nice, France. - A New Approach for Distributed Hypothesis Testing with Extensions to Byzantine-Resilience
Aritra Mitra, John A. Richards and Shreyas Sundaram
American Control Conference (ACC), 2019, Philadelphia, USA. [arXiv] - Finite-Time Distributed State Estimation over Time-Varying Graphs: Exploiting the Age-of-Information
Aritra Mitra, John A. Richards, Saurabh Bagchi and Shreyas Sundaram
American Control Conference (ACC), 2019, Philadelphia, USA. [arXiv] - A Novel Switched Linear Observer for Estimating the State of a Dynamical Process with a Mobile Agent
Aritra Mitra and Shreyas Sundaram
57th IEEE Decision and Control Conference (CDC), 2018, Miami, USA. [pdf] - On the Impact of Trusted Nodes in Resilient Distributed State Estimation of LTI Systems
Aritra Mitra, Waseem Abbas and Shreyas Sundaram
57th IEEE Decision and Control Conference (CDC), 2018, Miami, USA. - Secure Distributed State Estimation of an LTI System over Time-Varying Networks and Analog Erasure Channels
Aritra Mitra and Shreyas Sundaram
American Control Conference (ACC), 2018, Milwaukee, USA. [pdf] - Distributed Functional Observers for LTI Systems
Aritra Mitra and Shreyas Sundaram
56th IEEE Decision and Control Conference (CDC), 2017, Melbourne, Australia. [pdf] - Secure Distributed Observers for a Class of Linear Time Invariant Systems in the presence of Byzantine Adversaries
Aritra Mitra and Shreyas Sundaram
55th IEEE Decision and Control Conference (CDC), 2016, Las Vegas, NV, USA. [pdf] - An Approach for Distributed State Estimation of LTI Systems
Aritra Mitra and Shreyas Sundaram
54th Annual Allerton Conference, 2016, IL, USA. [pdf] - Control of a 4 DOF Barrett WAM Robot: Modeling, Control Synthesis and Experimental Validation
Aritra Mitra, Niladri Das, Raj Nayan Samant, and Laxmidhar Behera
1st IEEE International Conferance on Control, Measurement and Instrumentation (CMI), 2016, Kolkata, India. - Continuous-Time Single Network Adaptive Critic based Optimal Sliding Mode Control for Nonlinear Control Affine Systems
Aritra Mitra and Laxmidhar Behera
34th Chinese Control Conference (CCC), 2015, Hangzhou, China. - Development of a Fuzzy Sliding Mode Controller with Adaptive Tuning Technique for a MRI Guided Robot in the Human Vasculature
Aritra Mitra and Laxmidhar Behera
13th IEEE International Conference on Industrial Informatics (INDIN), 2015, Cambridge, UK.
* Denotes equal contribution