Publications

Preprints

  1. Aritra Mitra, Hamed Hassani and George J. Pappas, Exploiting Heterogeneity in Robust Federated Best-Arm Identification. [arXiv]

Journal Papers

  1. On the Computational Complexity of the Secure State-Reconstruction Problem
    Yanwen Mao, Aritra Mitra, Shreyas Sundaram and Paulo Tabuada
    Automatica, (to appear). [arXiv]

  2. 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, (conditionally accepted). [arXiv]

  3. 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]

  4. 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]

  5. 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]

  6. Byzantine-Resilient Distributed Observers for LTI Systems
    Aritra Mitra and Shreyas Sundaram
    Automatica, 2019. [arXiv] [link]

  7. 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]

  8. Distributed Observers for LTI Systems
    Aritra Mitra and Shreyas Sundaram
    IEEE Transactions on Automatic Control, 2018. [pdf] [ieeeexplore]

Conference Papers

  1. 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]

  2. Online Federated Learning
    Aritra Mitra, Hamed Hassani, and George J. Pappas
    60th IEEE Decision and Control Conference (CDC), 2021, Austin, Texas, USA.

  3. 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.

  4. 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]

  5. Event-Triggered Distributed Inference
    Aritra Mitra, Saurabh Bagchi and Shreyas Sundaram
    59th IEEE Decision and Control Conference (CDC), 2020, Jeju Island, Republic of Korea.

  6. 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]

  7. 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.

  8. 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]

  9. 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]

  10. 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]

  11. 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.

  12. 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]

  13. Distributed Functional Observers for LTI Systems
    Aritra Mitra and Shreyas Sundaram
    56th IEEE Decision and Control Conference (CDC), 2017, Melbourne, Australia. [pdf]

  14. 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]

  15. An Approach for Distributed State Estimation of LTI Systems
    Aritra Mitra and Shreyas Sundaram
    54th Annual Allerton Conference, 2016, IL, USA. [pdf]

  16. 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.

  17. 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.

  18. 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

Thesis