Title:
FEDERATED LEARNING METHOD, DEVICE, EQUIPMENT, AND STORAGE MEDIUM
Document Type and Number:
WIPO Patent Application WO/2021/115480
Kind Code:
A1
Abstract:
A federated learning method, related to the field of artificial intelligence, comprising: acquiring task configuration information of at least two clients participating in a target federated learning task; the task configuration information being obtained by pooling task configuration data received by the clients; initializing model training configuration information in the federated learning task on the basis of the task configuration information; executing a model training operation of the target federated learning task on the basis of the initialized model training configuration information, transmitting a model update parameter generated when executing the model training operation to the corresponding clients, thus allowing the clients to update a local federated learning model, and obtaining trained federated learning models corresponding to the clients. Also related to the field of machine learning.
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Inventors:
ZHOU XUELI (CN)
ZHU ENDONG (CN)
ZHANG QIAN (CN)
LING HAITING (CN)
ZHU ENDONG (CN)
ZHANG QIAN (CN)
LING HAITING (CN)
Application Number:
PCT/CN2020/136112
Publication Date:
June 17, 2021
Filing Date:
December 14, 2020
Export Citation:
Assignee:
PING AN TECH SHENZHEN CO LTD (CN)
International Classes:
G06N20/00
Foreign References:
CN111768008A | 2020-10-13 | |||
CN107644255A | 2018-01-30 | |||
CN110428058A | 2019-11-08 | |||
CN109144729A | 2019-01-04 |
Attorney, Agent or Firm:
ADVANCE CHINA IP LAW OFFICE (CN)
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