公开(公告)号：US20230229667A1

公开(公告)日：2023-07-20

申请号：US18191650

申请日：2023-03-28

Applicant: Huawei Technologies Co., Ltd.

Inventor： Gang Wu ,  Jianyou Zhou ,  Qian Xie ,  Quanchong Huang

IPC: G06F16/25 ,  G06F16/22

CPC classification number: G06F16/258 ,  G06F16/22

Abstract: A data processing method and apparatus, and a device are provided. In this application, a plurality of data processing modules may collaboratively process data. Data output by each data processing module is stored in a data set, the data set includes a plurality of pieces of data, each piece of data carries one index, and the index indicates a data processing module that generates the data. A first data processing module in the plurality of data processing modules may obtain, from the data set, first data carrying a first index, where the first index indicates a data processing module that generates the first data. Then, the first data processing module processes the first data to generate second data carrying a second index, where the second index indicates the first data processing module. Then, the first data processing module stores the second data into the data set.

公开(公告)号：US20240273364A1

公开(公告)日：2024-08-15

申请号：US18586400

申请日：2024-02-23

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Rongrong Fu ,  Xiaoxin Xu ,  Quanchong Huang

IPC: G06N3/08

CPC classification number: G06N3/08

Abstract: In a data processing method, when performing iterative training on a first neural network deployed on a first edge device, a cloud-side device obtains a first training set based on an application scenario feature of data collected by the first edge device. The first training set includes the data of the first edge device and sample data associated with the application scenario feature. The cloud-side device obtains a trained first neural network based on the first training set and the first neural network deployed on the first edge device. The cloud-side device then deploys the trained first neural network on the first edge device.