Invention Publication
- Patent Title: METHOD, APPARATUS, AND SYSTEM FOR GENERATING NEURAL NETWORK MODEL, DEVICE, MEDIUM, AND PROGRAM PRODUCT
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Application No.: US18392502Application Date: 2023-12-21
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Publication No.: US20240135191A1Publication Date: 2024-04-25
- Inventor: Mi LUO , Fei CHEN , Zhenguo LI , Jiashi FENG
- Applicant: HUAWEI TECHNOLOGIES CO., LTD.
- Applicant Address: CN Shenzhen
- Assignee: HUAWEI TECHNOLOGIES CO., LTD.
- Current Assignee: HUAWEI TECHNOLOGIES CO., LTD.
- Current Assignee Address: CN Shenzhen
- Priority: CN 2110704382.6 2021.06.24
- Main IPC: G06N3/098
- IPC: G06N3/098 ; G06N3/082

Abstract:
A method, an apparatus, and a system for generating a neural network model, a device, a medium, and a program product are provided. In an embodiment, a first device sends an indication about a structure of a subnetwork model to a second device, where the subnetwork model is determined by adjusting a structure of a hypernetwork model. The first device receives a parameter of the subnetwork model from the second device, where the parameter of the subnetwork model is determined by the second device based on the indication and the hypernetwork model. The first device trains the subnetwork model based on the received parameter of the subnetwork model. The first device sends a parameter of the trained subnetwork model to the second device for the second device to update the hypernetwork model. In the foregoing manner, an efficient federated learning scheme between a plurality of devices is provided.
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