Survey of personalized federated learning for edge computing scenarios

HE Fan; WANG Yong; YANG Jing; YU Xu

doi:10.11959/j.issn.1000-436x.2025131

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Survey of personalized federated learning for edge computing scenarios

Comprehensive Reviews | 更新时间：2025-08-07

- Survey of personalized federated learning for edge computing scenarios
- Journal on Communications Vol. 46, Issue 7, Pages: 206-225(2025)
- 作者机构：
  
  1.哈尔滨工程大学计算机科学与技术学院，黑龙江哈尔滨 150001
  2.哈尔滨工程大学电子政务建模仿真国家工程实验室，黑龙江哈尔滨 150001
  3.中国石油大学（华东）计算机科学与技术学院，山东青岛 266580
- 作者简介：
- 基金信息：
  
  The National Natural Science Foundation of China(62472441);The National Key Research and Development Program of China(2022YFC3301804);The Youth Fund Project of Humanities and Social Sciences Research of the Ministry of Education of China(20YJCZH172);The Natural Science Foundation of Heilongjiang Province(LH2024F035)
- DOI：10.11959/j.issn.1000-436x.2025131
  CLC： TN92
- Received：26 May 2025，
  
  Revised：2025-07-10，
  
  Accepted：15 July 2025，
  
  Published：25 July 2025
- 稿件说明：
移动端阅览
何帆,王勇,杨静等.面向边缘计算场景的个性化联邦学习综述[J].通信学报,2025,46(07):206-225.

HE Fan,WANG Yong,YANG Jing,et al.Survey of personalized federated learning for edge computing scenarios[J].Journal on Communications,2025,46(07):206-225.
何帆,王勇,杨静等.面向边缘计算场景的个性化联邦学习综述[J].通信学报,2025,46(07):206-225. DOI： 10.11959/j.issn.1000-436x.2025131.

HE Fan,WANG Yong,YANG Jing,et al.Survey of personalized federated learning for edge computing scenarios[J].Journal on Communications,2025,46(07):206-225. DOI： 10.11959/j.issn.1000-436x.2025131.

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Survey of personalized federated learning for edge computing scenarios

DOI：10.11959/j.issn.1000-436x.2025131