A tobacco sales forecasting method and apparatus

CN115330432BActive Publication Date: 2026-08-28CHINA TOBACCO ZHEJIANG IND CO LTD
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Patent Information

Application Number
CN202210804179.0
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2022-07-07
Publication Date
2026-08-28
Estimated Expiration
2042-07-07

AI Technical Summary

Technical Problem

[0004]然而,现有适用于烟草销量预测的横向联邦学习方法存在的主要问题在于:常见的横向联邦学习仅仅适用于单一的结构化数据模态,然而企业中现实的数据模态形式更加多样,例如烟草图像数据模态以及自然语言数据模态,因此单一的数据模态限制了联邦学习任务预测的性能,多种数据模态难以在联邦学习的方法中进行使用

Benefits of technology

[0133]本申请的有益效果如下:

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Abstract

The application discloses a tobacco sales prediction method and device. The tobacco sales prediction method comprises the following steps: receiving first federal model parameters of a federal model; setting a local multi-modal integrated model by using the first federal model parameters, wherein the local multi-modal integrated model supports multiple data modalities; and performing tobacco sales prediction by using the local integrated model. In the application, the local multi-modal integrated model supports tobacco sales prediction of multiple data modalities, thereby meeting the demand of users.
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Citation Information

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