Zhuqing Liu
Orcid: 0000-0003-0146-5101
According to our database1,
Zhuqing Liu
authored at least 16 papers
between 2016 and 2024.
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Bibliography
2024
Study on the suitable high-frequency PIV sample for centrifugal pump visualization based on impeller speed.
J. Vis., April, 2024
2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
PRECISION: Decentralized Constrained Min-Max Learning with Low Communication and Sample Complexities.
Proceedings of the Twenty-fourth International Symposium on Theory, 2023
DIAMOND: Taming Sample and Communication Complexities in Decentralized Bilevel Optimization.
Proceedings of the IEEE INFOCOM 2023, 2023
Prometheus: Taming Sample and Communication Complexities in Constrained Decentralized Stochastic Bilevel Learning.
Proceedings of the International Conference on Machine Learning, 2023
2022
SAGDA: Achieving O(ε<sup>-2</sup>) Communication Complexity in Federated Min-Max Learning.
CoRR, 2022
FD-GATDR: A Federated-Decentralized-Learning Graph Attention Network for Doctor Recommendation Using EHR.
CoRR, 2022
SAGDA: Achieving $\mathcal{O}(\epsilon^{-2})$ Communication Complexity in Federated Min-Max Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
NET-FLEET: achieving linear convergence speedup for fully decentralized federated learning with heterogeneous data.
Proceedings of the MobiHoc '22: The Twenty-third International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing, Seoul, Republic of Korea, October 17, 2022
SYNTHESIS: a semi-asynchronous path-integrated stochastic gradient method for distributed learning in computing clusters.
Proceedings of the MobiHoc '22: The Twenty-third International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing, Seoul, Republic of Korea, October 17, 2022
INTERACT: achieving low sample and communication complexities in decentralized bilevel learning over networks.
Proceedings of the MobiHoc '22: The Twenty-third International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing, Seoul, Republic of Korea, October 17, 2022
2021
Taming Communication and Sample Complexities in Decentralized Policy Evaluation for Cooperative Multi-Agent Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
2019
Review on the sensitization of turbulence models to rotation/curvature and the application to rotating machinery.
Appl. Math. Comput., 2019
2017
Energy-Aware Material Selection for Product With Multicomponent Under Cloud Environment.
J. Comput. Inf. Sci. Eng., 2017
2016
Pendulum-like oscillation controller for UAV based on Lévy-flight pigeon-inspired optimization and LQR.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016