Patent · US Active

Network entity for determining a model for digitally analyzing input data

US12081410B2 · kind B2 · utility

0Cited by

2References

14Claims

0Family size

Assignee

Huawei Technologies Co., Ltd. · CN

Inventors

Qing Wei · Munich, DE
Clarissa Marquezan · Munich, DE
Yang Xin · Shanghai, CN
Xiaobo Wu · Lo Wu, CN

Key dates

Filing date	Jul 1, 2022
Grant date	Sep 3, 2024
Priority date	—
Expiry date	Jul 1, 2042

Classification

Technology area (CPC H)Electricity
CPC primaryH04L41/40
WIPO fieldDigital communication
WIPO sectorElectrical engineering

Abstract

A network entity determines at least one model parameter of a model for digitally analyzing input data depending on the at least one model parameter of a model, the network entity being configured to receive a model request from a requesting entity over the communication network, the model request requesting the at least one model parameter of the model, to obtain the requested at least one model parameter by at least one of the following: executing a machine-learning model training algorithm, the machine-learning model training algorithm being configured to train the model with input data in order to determine at least one of the requested model parameter; searching a local data base for an existing model; or requesting the at least one model parameter from a further network entity; and to send the requested model parameter towards the requesting entity over the communication network.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.