Blockchained Dual-Asynchronous Federated Learning Services for Digital Twin Empowered Edge-Cloud Continuum-Reference-Cited by-同舟云学术

Blockchained Dual-Asynchronous Federated Learning Services for Digital Twin Empowered Edge-Cloud Continuum

Published:2024-05 Issue:3 Volume:17 Page:836-849
ISSN:1939-1374
Container-title:IEEE Transactions on Services Computing
language:
Short-container-title:IEEE Trans. Serv. Comput.

Author:

Qu Youyang¹^ORCID,Yu Shui²^ORCID,Gao Longxiang¹^ORCID,Sood Keshav³^ORCID,Xiang Yong³^ORCID

Affiliation:

1. Key Laboratory of Computing Power Network and Information Security, Ministry of Education, Shandong Computer Science Center, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China

2. School of Computer Science, University of Technology Sydney, Ultimo, NSW, Australia

3. Deakin Blockchain Innovation Lab, School of IT, Deakin University, Burwood, VIC, Australia

Funder

National Science and Technology

Taishan Scholars Program

Shandong Excellent Young Scientists Fund Program

Australia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/4629386/10554674/10494779.pdf?arnumber=10494779

Reference49 articles.

1. An adaptive deep reinforcement learning framework enables curling robots with human-like performance in real-world conditions

2. Communication-Efficient Edge AI: Algorithms and Systems

3. Artificial intelligence (AI) use cases;Kirkpatrick,2019

4. Federated optimization: Distributed machine learning for on-device intelligence;Konečnỳ,2016

5. Communication-efficient federated learning via knowledge distillation

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An Intelligent and Trust‐Enabled Farming Systems With Blockchain and Digital Twins on Mobile Edge Computing;International Journal of Network Management;2024-08-20