Joint Secure Offloading and Resource Allocation for Vehicular Edge Computing Network: A Multi-Agent Deep Reinforcement Learning Approach

Author:

Ju Ying1ORCID,Chen Yuchao1,Cao Zhiwei1,Liu Lei1ORCID,Pei Qingqi1ORCID,Xiao Ming2ORCID,Ota Kaoru3ORCID,Dong Mianxiong3ORCID,Leung Victor C. M.4ORCID

Affiliation:

1. State Key Laboratory of Integrated Services Networks, School of Telecommunications Engineering, Xidian University, Xi’an, China

2. Department of Information Science and Engineering, Royal Institute of Technology (KTH), Stockholm, Sweden

3. Department of Information and Electronic Engineering, Muroran Institute of Technology, Muroran, Japan

4. College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Basic and Applied Basic Research Foundation of Guangdong Province

Key Research and Development Programs of Shaanxi

FORMAS Project titled Intelligent Energy Management in Smart Community with Distributed Machine Learning

Swedish Research Council Project titled Coding for Large-Scale Distributed Machine Learning

JSPS KAKENHI

Leading Initiative for Excellent Young Researchers (LEADER), MEXT, Japan

JST, PRESTO, Japan

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

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