基于联邦学习的稻米加工数据分析与隐私保护
Analysis and Privacy Protection of Rice Processing Data Based on Federated Learning
喻伟 1周劲1
作者信息
- 1. 武汉轻工大学电气与电子工程学院,武汉 430048
- 折叠
摘要
随着大米加工业的规模化迅速发展,传统的继电器手动电气控制系统已经无法满足现代精米加工企业的需求.为了实现稻米加工技术的转型,提高稻米质量,保护稻米加工数据隐私,对稻米加工数据进行分析和保护是非常有必要的.将联邦学习技术与稻米加工结合,根据稻米加工中碎米率、含黄率等数据进行联邦学习的训练,分析出稻米品质,同时也保护了数据的隐私.联邦学习将为稻米加工数据的信息化和稻米加工企业的数据安全性开辟一条新的道路.
Abstract
With the rapid development of the rice processing industry,traditional relay manual electrical con-trol systems have been unable to meet the needs of modern rice processing enterprises.In order to achieve the transformation of rice processing technology,improve rice quality,and protect the privacy of rice processing data,it is necessary to analyze and protect rice processing data.Combining federated learning technology with rice processing,conducting federated learning training based on data such as broken rice rate and yellow content in rice processing,analyzing rice quality,and protecting data privacy at the same time.Federated learning will open up a new path for the informatization of rice processing data and the data security of rice processing enterprises.
关键词
联邦学习/隐私保护/稻米加工数据Key words
federated learning/privacy protection/rice processing data引用本文复制引用
基金项目
湖北省重点研发计划(2023BBB110)
湖北省揭榜制粮食科技项目(鄂粮函[2023]8号)
湖北省揭榜制粮食科技项目(鄂粮函[2022]21号)
出版年
2024
NETL
NSTL
万方数据