Title:
MODEL TRAINING METHOD, APPARATUS AND SYSTEM, AND RELATED DEVICE
Document Type and Number:
WIPO Patent Application WO/2024/001861
Kind Code:
A1
Abstract:
Provided is a model training method, comprising: acquiring an AI model to be trained, and determining a plurality of communication domains; and during the process of training the AI model in each round, by using local gradient data corresponding to each communication domain, updating the AI model, wherein the local gradient data corresponding to each communication domain is obtained by performing gradient fusion according to gradient data respectively generated by a plurality of devices in the communication domain, and when the AI model is trained at an interval of a plurality of rounds, updating, by using total gradient data, the AI model respectively trained in each communication domain, wherein the total gradient data is obtained by performing gradient fusion according to the gradient data in the plurality of communication domains. Therefore, since it is only at an interval of a plurality of rounds of training that an AI model is updated by using gradient data generated by all devices training the AI model, the problem of the overall training progress of an AI model being slowed down due to the progress of training the AI model within a period of time in some communication domains being relatively low can be alleviated, such that the overall training efficiency of the AI model can be improved.
Inventors:
HAO RIPEI (CN)
Application Number:
PCT/CN2023/101224
Publication Date:
January 04, 2024
Filing Date:
June 20, 2023
Export Citation:
Assignee:
HUAWEI TECH CO LTD (CN)
International Classes:
G06N3/098
Foreign References:
| CN113656175A | 2021-11-16 | |||
| CN114579311A | 2022-06-03 | |||
| CN113867959A | 2021-12-31 | |||
| CN114221736A | 2022-03-22 | |||
| KR20210158558A | 2021-12-31 |
Attorney, Agent or Firm:
SHENPAT INTELLECTUAL PROPERTY AGENCY (CN)
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