Federated Learning-Empowered AI-Generated Content in Wireless Networks-Reference-Cited by-同舟云学术

Federated Learning-Empowered AI-Generated Content in Wireless Networks

Published:2024-09 Issue:5 Volume:38 Page:304-313
ISSN:0890-8044
Container-title:IEEE Network
language:
Short-container-title:IEEE Network

Author:

Huang Xumin¹^ORCID,Li Peichun¹^ORCID,Du Hongyang²^ORCID,Kang Jiawen³^ORCID,Niyato Dusit²^ORCID,Kim Dong In⁴^ORCID,Wu Yuan⁵^ORCID

Affiliation:

1. State Key Laboratory of Internet of Things for Smart City, University of Macau, Taipa, Macau, China

2. School of Computer Science and Engineering, Nanyang Technological University, Jurong West, Singapore

3. School of Automation, Guangdong University of Technology, Guangzhou, China

4. Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon, South Korea

5. Department of Computer and Information Science, State Key Laboratory of Internet of Things for Smart City, University of Macau, Taipa, Macau, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/65/10680059/10398264.pdf?arnumber=10398264

Reference15 articles.

1. Enabling AI-Generated Content Services in Wireless Edge Networks

2. Generative adversarial networks

3. An Introduction to Variational Autoencoders

4. Deep unsupervised learning using nonequilibrium thermodynamics;Sohl-Dickstein

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