Title:
TEXT MODEL TRAINING METHOD, RECOGNITION METHOD, APPARATUS, DEVICE AND STORAGE MEDIUM
Document Type and Number:
WIPO Patent Application WO/2022/121183
Kind Code:
A1
Abstract:
A federated learning-based text model training method, a text model recognition method, an apparatus, a computer device, and computer-readable storage medium. The federated learning-based text model training method comprises: acquiring a data set to be trained, and on the basis of the data set, training a preset language model to obtain model parameter information of the preset language model (S101); encrypting the model parameter information and uploading same to a preset aggregated federated model so as to obtain aggregated model parameter information which is returned after the preset aggregated federated model performs federated learning on the model parameter information (S102); and on the basis of the aggregated model parameter information, updating the preset language model to obtain a corresponding text model (S103). A plurality of models are jointly trained on the basis of protecting data privacy, the accuracy with which infringing text is predicted is improved, and the training time for the models is reduced.
Inventors:
LI ZHITAO (CN)
WANG JIANZONG (CN)
CHENG NING (CN)
WANG JIANZONG (CN)
CHENG NING (CN)
Application Number:
PCT/CN2021/084297
Publication Date:
June 16, 2022
Filing Date:
March 31, 2021
Export Citation:
Assignee:
PING AN TECH SHENZHEN CO LTD (CN)
International Classes:
G06N20/20
Foreign References:
| CN111966875A | 2020-11-20 | |||
| CN110457585A | 2019-11-15 | |||
| CN111669757A | 2020-09-15 | |||
| CN109543030A | 2019-03-29 | |||
| US20190340534A1 | 2019-11-07 |
Attorney, Agent or Firm:
SHENZHEN ZHONGYI UNION INTELLECTUAL PROPERTY AGENCY CO., LTD. (CN)
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