no code implementations • 15 Apr 2024 • Chong Yu, Shuaiqi Shen, Shiqiang Wang, Kuan Zhang, Hai Zhao
In this paper, we provide a thorough study on an effective integration of HFL and VFL, to achieve communication efficiency and overcome the above limitations when data is both horizontally and vertically partitioned.
no code implementations • 15 Jun 2022 • Tong Liu, Lei Lei, Kan Zheng, Kuan Zhang
Deep Reinforcement Learning (DRL) is regarded as a potential method for car-following control and has been mostly studied to support a single following vehicle.
no code implementations • 4 Jun 2021 • Kuan Zhang, Haoji Hu, Kenneth Philbrick, Gian Marco Conte, Joseph D. Sobek, Pouria Rouzrokh, Bradley J. Erickson
There is a growing demand for high-resolution (HR) medical images in both the clinical and research applications.
no code implementations • 4 Mar 2021 • Yi-Kai Huo, Yushan Su, Long-Cheng Gui, Xiangdong Ji, Yuan-Yuan Li, Yizhuang Liu, Andreas Schäfer, Maximilian Schlemmer, Peng Sun, Wei Wang, Yi-Bo Yang, Jian-Hui Zhang, Kuan Zhang
In applying large-momentum effective theory, renormalization of the Euclidean correlators in lattice regularization is a challenge due to linear divergences in the self-energy of Wilson lines.
High Energy Physics - Lattice High Energy Physics - Phenomenology
no code implementations • 5 Jun 2020 • Yue Tan, Chunjing Hu, Kuan Zhang, Kan Zheng, Ethan A. Davis, Jae Sung Park
Anomaly detection for non-linear dynamical system plays an important role in ensuring the system stability.
no code implementations • 22 Jul 2019 • Lei Lei, Yue Tan, Kan Zheng, Shiwen Liu, Kuan Zhang, Xuemin, Shen
Next, a comprehensive survey of the state-of-art research on DRL for AIoT is presented, where the existing works are classified and summarized under the umbrella of the proposed general DRL model.