Turning Channel Noise Into an Accelerator for Over-the-Air Principal Component Analysis-Reference-Cited by-同舟云学术

Turning Channel Noise Into an Accelerator for Over-the-Air Principal Component Analysis

Author:

Zhang Zezhong¹,Zhu Guangxu²^ORCID,Wang Rui³^ORCID,Lau Vincent K. N.⁴^ORCID,Huang Kaibin¹^ORCID

Affiliation:

1. Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong

2. Shenzhen Research Institute of Big Data, Shenzhen, China

3. Department of Electronic and Electrical Engineering, Southern University of Science and Technology, Shenzhen, China

4. Department of Electronic and Computer Engineering, The Hong Kong University of Science and Technology, Hong Kong

Funder

Fellowship Award from the Research Grants Council of the Hong Kong Special Administrative Region, China

Basic and Applied Basic Research Foundation of Guangdong Province

Hong Kong Research Grants Council

Innovation and Technology Fund

Shenzhen Science and Technology Program

National Natural Science Foundation of China

National Key Research and Development Program of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Electrical and Electronic Engineering,Computer Science Applications

Link

Reference37 articles.

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5. On the almost sure convergence of stochastic gradient descent in non-convex problems;mertikopoulos;Proc Conf Neural Inf Process Syst (NIPS),2020

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