An Edge-Cloud Collaboration Framework for Generative AI Service Provision With Synergetic Big Cloud Model and Small Edge Models

Author:

Tian Yuqing1ORCID,Zhang Zhaoyang1ORCID,Yang Yuzhi1ORCID,Chen Zirui1ORCID,Yang Zhaohui1ORCID,Jin Richeng1ORCID,Quek Tony Q. S.2ORCID,Wong Kai-Kit3ORCID

Affiliation:

1. College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China

2. ISTD Pillar, Singapore University of Technology and Design (SUTD), Tampines, Singapore

3. Department of Electronic and Electrical Engineering, University College London, London, U.K

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Provincial Key R&D Program of Zhejiang

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Reference15 articles.

1. Unleashing the power of edge-cloud generative AI in mobile networks: A survey of AIGC services;Xu;arXiv:2303.16129,2023

2. Foundation model based native AI framework in 6G with cloud-edge-end collaboration;Chen;arXiv:2310.17471,2023

3. Big AI models for 6G wireless networks: Opportunities, challenges, and research directions;Chen;arXiv:2308.06250,2023

4. Toward Self-Learning Edge Intelligence in 6G

5. Artificial intelligence in 3GPP 5G-advanced: A survey;Lin;arXiv:2305.05092,2023

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