| Fedadmm: A federated primal-dual algorithm allowing partial participation H Wang, S Marella, J Anderson 2022 IEEE 61st Conference on Decision and Control (CDC), 287-294, 2022 | 29 | 2022 |
| Robust closed-loop model predictive control via system level synthesis S Chen, H Wang, M Morari, VM Preciado, N Matni 2020 59th IEEE Conference on Decision and Control (CDC), 2152-2159, 2020 | 25 | 2020 |
| Fedsysid: A federated approach to sample-efficient system identification H Wang, LF Toso, J Anderson Learning for Dynamics and Control Conference, 1308-1320, 2023 | 11 | 2023 |
| Federated temporal difference learning with linear function approximation under environmental heterogeneity H Wang, A Mitra, H Hassani, GJ Pappas, J Anderson arXiv preprint arXiv:2302.02212, 2023 | 10 | 2023 |
| Model-free learning with heterogeneous dynamical systems: A federated lqr approach H Wang, LF Toso, A Mitra, J Anderson arXiv preprint arXiv:2308.11743, 2023 | 8 | 2023 |
| Large-scale system identification using a randomized svd H Wang, J Anderson 2022 American Control Conference (ACC), 2178-2185, 2022 | 7 | 2022 |
| Finite-Time Analysis of On-Policy Heterogeneous Federated Reinforcement Learning C Zhang, H Wang, A Mitra, J Anderson International Conference on Learning Representations (ICLR 2024), 2024 | 5 | 2024 |
| Analysis of carbon emissions from transportation in Beijing J Chen, H Wang, X Zhang, S Chen, Z Bao International Journal of Services Technology and Management 22 (3-5), 271-286, 2016 | 5 | 2016 |
| Robust convergence analysis of three-operator splitting H Wang, M Fazlyab, S Chen, VM Preciado 2019 57th Annual Allerton Conference on Communication, Control, and …, 2019 | 4 | 2019 |
| Meta-Learning Linear Quadratic Regulators: A Policy Gradient MAML Approach for the Model-free LQR LF Toso, D Zhan, J Anderson, H Wang arXiv preprint arXiv:2401.14534, 2024 | 3 | 2024 |
| Learning Personalized Models with Clustered System Identification LF Toso, H Wang, J Anderson 2023 62nd IEEE Conference on Decision and Control (CDC), 7162-7169, 2023 | 3 | 2023 |
| Improved Communication Efficiency in Federated Natural Policy Gradient via ADMM-based Gradient Updates G Lan, H Wang, J Anderson, C Brinton, V Aggarwal Thirty-seventh Conference on Neural Information Processing Systems, 2023 | 2 | 2023 |
| Oracle Complexity Reduction for Model-free LQR: A Stochastic Variance-Reduced Policy Gradient Approach LF Toso, H Wang, J Anderson arXiv preprint arXiv:2309.10679, 2023 | 2 | 2023 |
| Learning linear models using distributed iterative hessian sketching H Wang, J Anderson Learning for Dynamics and Control Conference, 427-440, 2022 | 1 | 2022 |
| Asynchronous Heterogeneous Linear Quadratic Regulator Design LF Toso, H Wang, J Anderson arXiv preprint arXiv:2404.09061, 2024 | | 2024 |
| Randomized-NLA methods for fast accurate real-time characterization of tokamak discharges from multiple data-streams J Anderson, H Wang, M Mauel, J Levesque APS Division of Plasma Physics Meeting Abstracts 2021, UP11. 135, 2021 | | 2021 |
| Analysis of low-carbon transport in Beijing J Chen, Z Bao, X Liu, Y Liang, H Wang 2015 International Conference on Logistics, Informatics and Service Sciences …, 2015 | | 2015 |
James AndersonAssistant Professor, Electrical Engineering, Columbia UniversityVerified email at columbia.edu
