An analytic end-to-end collaborative learning algorithm

• Main Authors: Li, Sitan, Cheah, Chien Chern
• 其他作者: School of Electrical and Electronic Engineering
• 格式: Conference or Workshop Item
• 語言: English
• 出版: 2024
• 主題: Engineering; End-to-End; Convergence analysis
• 在線閱讀: https://hdl.handle.net/10356/173152; https://ieeexplore.ieee.org/xpl/conhome/10383192/proceeding
• 機構: Nanyang Technological University

In most control applications, theoretical analysis of the systems is crucial in ensuring stability or convergence, so as to ensure safe and reliable operations and also to gain a better understanding of the systems for further developments. However, most current deep learning methods are black-box a...