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rings [2023/07/21 10:07] lingjialiu [Industry Collaborators] |
rings [2024/09/12 15:16] (current) lingjialiu |
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===== Personnel ===== | ===== Personnel ===== | ||
- | * PI in the Leading Institution: [[https://computing.ece.vt.edu/~lingjialiu/doku.php|Lingjia Liu]] (ECE at VT) | + | * [[https://computing.ece.vt.edu/~lingjialiu/doku.php|Lingjia Liu]], ECE at VT: PI in the Leading Institution |
- | * PI in the Collaborative Institution: [[https://ece.duke.edu/faculty/robert-calderbank|Robert Calderbank]] (ECE/CS at Duke) | + | * [[https://ece.duke.edu/faculty/robert-calderbank|Robert Calderbank]], ECE/CS at Duke: PI in the Collaborative Institution |
- | * PI in the Collaborative Institution: [[https://users.ece.cmu.edu/~yuejiec/|Yuejie Chi]] (ECE at CMU) | + | * [[https://users.ece.cmu.edu/~yuejiec/|Yuejie Chi]], ECE at CMU: PI in the Collaborative Institution |
+ | * Shadab Mahboob, ECE at VT: PhD student | ||
+ | * Beyza Dabak, ECE at Duke: PhD student | ||
+ | * Shicong Cen, ECE at CMU: PhD Student | ||
===== Industry Collaborators ===== | ===== Industry Collaborators ===== | ||
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===== Publication ===== | ===== Publication ===== | ||
- | - Cen, Shicong and Chen, Fan and Chi, Yuejie "Independent Natural Policy Gradient Methods for Potential Games: Finite-time Global Convergence with Entropy Regularization" IEEE Conference on Decision and Control (CDC) , 2022 | + | - S. Cen, F. Chen, and Y. Chi, "Independent Natural Policy Gradient Methods for Potential Games: Finite-time Global Convergence with Entropy Regularization" IEEE Conference on Decision and Control (CDC) , 2022 |
- | - Zhan, Wenhao and Cen, Shicong and Huang, Baihe and Chen, Yuxin and Lee, Jason D. and Chi, Yuejie "Policy Mirror Descent for Regularized Reinforcement Learning: A Generalized Framework with Linear Convergence" SIAM Journal on Optimization , v.33 , 2023 | + | - W. Zhao, S. Cen, B. Huang, Y. Chen, J. D. Lee, and Y. Chi, "Policy Mirror Descent for Regularized Reinforcement Learning: A Generalized Framework with Linear Convergence" SIAM Journal on Optimization , v.33 , 2023 |
- | - Li, Z. and Zhao, H. and Li, B. and Chi, Y. "SoteriaFL: A Unified Framework for Private Federated Learning with Communication Compression" Advances in neural information processing systems , 2022 | + | - Z. Li, H. Zhao, B. Li, and Y. Chi, "SoteriaFL: A Unified Framework for Private Federated Learning with Communication Compression" Advances in neural information processing systems, 2022 |
- | - Zhao, H. and Li, B. and Li, Z. and Richtarik, P. and Chi, Y. "BEER: Fast O(1/T) Rate for Decentralized Nonconvex Optimization with Communication Compression" Advances in neural information processing systems , 2022 | + | - H. Zhao, B. Li, Z. Li, P. Richtarik, and Y. Chi, "BEER: Fast O(1/T) Rate for Decentralized Nonconvex Optimization with Communication Compression" Advances in neural information processing systems, 2022 |
- | - Ao, R. and Cen, S. and Chi, Y. "Asynchronous Gradient Play in Zero-Sum Multi-agent Games" International Conference on Learning Representations (ICLR) , 2023 | + | - R. Ao, S. Cen, and Y. Chi, "Asynchronous Gradient Play in Zero-Sum Multi-agent Games" International Conference on Learning Representations (ICLR), 2023 |
- | - Cen, S. and Chi, Y. and Du, S. and Xiao, L. "Faster Last-iterate Convergence of Policy Optimization in Zero-Sum Markov Games" International Conference on Learning Representations (ICLR) , 2023 | + | - S. Cen, Y. Chi, S. Du, and L. Xiao, "Faster Last-iterate Convergence of Policy Optimization in Zero-Sum Markov Games" International Conference on Learning Representations (ICLR), 2023 |
+ | - S. Mahboob and L. Liu, "Revolutionizing Future Connectivity: A Contemporary Survey on AI-Empowered Satellite-Based Non-Terrestrial Networks in 6G," in IEEE Communications Surveys & Tutorials, vol. 26, no. 2, pp. 1279-1321, Secondquarter 2024 | ||
===== Code Repository ===== | ===== Code Repository ===== | ||