Large-Scale Bandwidth and Power Optimization for Multi-Modal Edge Intelligence Autonomous Driving-Reference-Cited by-同舟云学术

Large-Scale Bandwidth and Power Optimization for Multi-Modal Edge Intelligence Autonomous Driving

Author:

Li Xinrao¹^ORCID,Zhang Tong²^ORCID,Wang Shuai³^ORCID,Zhu Guangxu⁴^ORCID,Wang Rui¹^ORCID,Chang Tsung-Hui⁴^ORCID

Affiliation:

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

2. College of Information Science and Technology, Jinan University, Guangzhou, China

3. Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China

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

Funder

Basic and Applied Basic Research Foundation of Guangdong Province

National Natural Science Foundation of China

Cooperation Project between Shenzhen Institute of Advanced Technology and Direct Drive Tech

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Control and Systems Engineering

Link

Reference16 articles.

2. How powerful are performance predictors in neural architecture search?;white;Proc Adv Neural Inf Process Syst,2021

3. Large-scale bandwidth and power optimization for multi-modal edge autonomous driving;li;arxiv abs/2210 09659,2022

4. A differential equation for modeling Nesterov’s accelerated gradient method: Theory and insights;su;Proc Adv Neural Inf Process Syst,2014

5. Data partition and rate control for learning and energy efficient edge intelligence;li;arXiv 2107 08884,2021

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