Client grouping and time-sharing scheduling for asynchronous federated learning in heterogeneous edge computing environment

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Topics: Distributed Edge Intelligence for Complex Environments | 更新时间：2024-05-31

- Client grouping and time-sharing scheduling for asynchronous federated learning in heterogeneous edge computing environment
- Journal on Communications Vol. 44, Issue 11, Pages: 79-93(2023)
- 作者机构：
  
  1. 网络通信与安全紫金山实验室未来网络研究中心，江苏南京 211111
  2. 中国科学技术大学计算机科学与技术学院，安徽合肥 230026
  3. 中国科学技术大学苏州高等研究院，江苏苏州 215123
  4. 北京邮电大学网络与交换技术国家重点实验室，北京 100876
- 作者简介：
- 基金信息：
  
  The National Natural Science Foundation of China(U1709217);The National Natural Science Foundation of China(61936015);The National Natural Science Foundation of China(92267301)
- DOI：10.11959/j.issn.1000-436x.2023196
  CLC： TP301
- Online First：2023-11，
  
  Published：25 November 2023
- 稿件说明：
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Qianpiao MA, Qingmin JIA, Jianchun LIU, et al. Client grouping and time-sharing scheduling for asynchronous federated learning in heterogeneous edge computing environment[J]. Journal on Communications, 2023, 44(11): 79-93.
DOI：

Qianpiao MA, Qingmin JIA, Jianchun LIU, et al. Client grouping and time-sharing scheduling for asynchronous federated learning in heterogeneous edge computing environment[J]. Journal on Communications, 2023, 44(11): 79-93. DOI： 10.11959/j.issn.1000-436x.2023196.

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