Abstract: Privacy-preserving distributed machine learning becomes increasingly important due to the recent rapid growth of data. This paper focuses on a class of ...
The new SF Fed Policy Calibration Tool is designed to help construct a monetary policy path that aligns with one’s views of ...
PhD students and postdoctoral researchers: Students and postdoctoral researchers who are interested to join my research group at the Chinese University of Hong Kong, Shenzhen in China and at the ...
Abstract: Ensuring predefined-time convergence, strong robustness, and global adaptability is of great significance for improving the control performance and operation reliability of tiltrotor ...
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