Output Similarity Clustering Based Model Matching Method in AI-Model Network

您当前的位置：

首页 >

文章列表页 >

更新时间：2026-07-24

- Output Similarity Clustering Based Model Matching Method in AI-Model Network
- Journal on Communications (2026)
- 作者机构：
  
  1.暨南大学信息科学技术学院，广东广州 510632
  2.长沙理工大学计算机科学与技术学院，湖南长沙 410114
- 作者简介：
- 基金信息：
  
  National Natural Science Foundation of China Major Scientific Research Instrument Development Project(62527823);National Natural Science Foundation of China International Cooperation Key Project(W2411053);National Natural Science Foundation of China Joint Fund Key Project(U23B2027);Guangdong Province Basic and Applied Basic Research Major Project(2026B0303000007)
- DOI：10.11959/j.issn.1000-436x.TXXB260334
  CLC： TP181
- Received：08 June 2026，
  
  Revised：2026-07-21，
  
  Accepted：24 July 2026，
- 稿件说明：
移动端阅览
Long Saiqin, Lai Junjie, Xiao Yong, et al. Output Similarity Clustering Based Model Matching Method in AI-Model Network[J/OL]. Journal on Communications, 2026.
DOI：

Long Saiqin, Lai Junjie, Xiao Yong, et al. Output Similarity Clustering Based Model Matching Method in AI-Model Network[J/OL]. Journal on Communications, 2026. DOI： 10.11959/j.issn.1000-436x.TXXB260334.

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Token-level multi-model collaboration based on self-efficacy in AI-model network

Adaptive resource scheduling policy for 5G-R network slicing on high-speed railways

Lightweight Swin Transformer-based resource-adaptive semantic compression strategy

Lightweight malware classification method based on heterogeneous feature collaboration

Anonymous and accountable aggregate ring signature algorithm for electronic voting

Related Author

Wang Jianhui

Li Zhetao

Shi Weifan

Wang Zeping

Zheng Zhirun

Li Chengxin

Related Institution

Department of Artificial Intelligence, Ajou University, Suwon 16499, Republic of Korea

School of Mathematics and Computational Science, Xiangtan University

AI导读

AI问答

⁰