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Frontiers of Computer Science

ISSN 2095-2228

ISSN 2095-2236(Online)

CN 10-1014/TP

邮发代号 80-970

2019 Impact Factor: 1.275

Frontiers of Computer Science  2020, Vol. 14 Issue (6): 146318   https://doi.org/10.1007/s11704-019-9237-3
  本期目录
Prototyping federated learning on edge computing systems
Jianlei YANG1,2(), Yixiao DUAN1,2, Tong QIAO1,2, Huanyu ZHOU1,2, Jingyuan WANG1, Weisheng ZHAO2,3
1. School of Computer Science and Engineering, Beihang University, Beijing 100191, China
2. Fert Beijing Research Institute, BDBC, Beihang University, Beijing 100191, China
3. School of Microelectronics, Beihang University, Beijing 100191, China
 全文: PDF(326 KB)  
收稿日期: 2019-06-01      出版日期: 2020-05-26
Corresponding Author(s): Jianlei YANG   
 引用本文:   
. [J]. Frontiers of Computer Science, 2020, 14(6): 146318.
Jianlei YANG, Yixiao DUAN, Tong QIAO, Huanyu ZHOU, Jingyuan WANG, Weisheng ZHAO. Prototyping federated learning on edge computing systems. Front. Comput. Sci., 2020, 14(6): 146318.
 链接本文:  
https://academic.hep.com.cn/fcs/CN/10.1007/s11704-019-9237-3
https://academic.hep.com.cn/fcs/CN/Y2020/V14/I6/146318
1 Q Yang, Y Liu, T Chen, Y Tong. Federated machine learning: concept and applications. ACM Transactions on Intelligent Systems and Technology, 2019, 10(2): 12
https://doi.org/10.1145/3298981
2 H Andrew, R Kanishka, M Rajiv, R Swaroop, B Francoise. Federated learning for mobile keyboard prediction. 2018, arXiv preprint arXiv: 1811.03604
3 B Keith, E Hubert, G Wolfgang, H Dzmitry, I Alex, I Vladimir. Towards federated learning at scale: system design. 2019, arXiv preprint arXiv: 1902.01046
4 Y Chen, Y Ning, R Huzefa. Asynchronous online federated learning for edge devices. 2019, arXiv preprint arXiv: 1911.02134
5 S Sun, W Chen, J Bian, X Liu, T Liu. Slim-DP: a multi-agent system for communication-efficient distributed deep learning. In: Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems. 2018, 721–729
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