Chinese Journal of Intelligent Science and Technology ›› 2022, Vol. 4 ›› Issue (1): 29-44.doi: 10.11959/j.issn.2096-6652.202218

• Special Topic: Crowd Intelligence • Previous Articles     Next Articles

A survey on federated learning in crowd intelligence

Qiang YANG1,2, Yongxin TONG3, Yansheng WANG3, Lixin FAN1, Wei WANG3, Lei CHEN2, Wei WANG4, Yan KANG1   

  1. 1 Qianhai WeBank Co., Ltd., Shenzhen 518063, China
    2 The Hong Kong University of Science and Technology, Hong Kong 999077, China
    3 Beihang University, Beijing 100191, China
    4 Nanjing University, Nanjing 210033, China
  • Revised:2022-03-04 Online:2022-03-15 Published:2022-03-01
  • Supported by:
    The National Key Research and Development Program of China(2018AAA0101100);The National Natural Science Foundation of China(U21A20516);The National Natural Science Foundation of China(61822201);The National Natural Science Foundation of China(U1811463);The National Natural Science Foundation of China(62076017);WeBank Scholars Program


Crowd intelligence is emerging as a new artificial intelligence paradigm owing to the rapid development of the Internet.However, the data isolation and data privacy preservation problems make it difficult to share data among the crowd and to build crowd intelligent applications.Federated learning is a novel solution that aims to collaboratively build models by breaking the data barriers in crowd.Firstly, the basic ideas of federated learning and a comparison with crowd intelligence were introduced.Secondly, federated learning algorithms were divided into three categories according to the crowd organization, and further optimization techniques on privacy, accuracy and efficiency were discussed.Thirdly, federated learning operators based on linear models, tree models and neural network models were presented respectively.Finally, mainstream federated learningopensource platforms and typical applications were introduced, followed by the conclusion.

Key words: crowd intelligence, federated learning, privacy preservation

CLC Number: 

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