基于联邦增量学习算法的微课平台视频教学资源共享方法  

Video Teaching Resources Sharing Method of Micro Course Platform Based on Federated Incremental Learning Algorithm

作　　者：刁妍今 DIAO Yanjin(Henan Institute of Economics and Trade,Zhengzhou Henan 450046,China)

机构地区：[1]河南经贸职业学院,河南郑州450046

出　　处：《信息与电脑》2024年第5期248-250,共3页Information & Computer

基　　金：2022年河南经贸职业学院科研基金项目“基于手机网络下的‘微视频+微练习’新型微课开发与应用研究”(项目编号:2022KY008)。

摘　　要：传统微课平台视频教学资源共享方法共享性差,对此,提出基于联邦增量学习算法的微课平台视频教学资源共享方法。该方法基于决策树算法对平台教育资源进行分类,引入联邦增量学习算法对微课平台视频教学资源进行共享。实验结果表明,基于联邦增量学习算法的微课平台视频教学资源共享方法的传输时延最低,且共享成功率较高,具有一定的实用性。The traditional video teaching resource sharing method of micro course platform has poor sharing performance,so this paper proposes the video teaching resource sharing method of micro course platform based on federated incremental learning algorithm.This method classifies the platform educational resources based on decision tree algorithm,and shares video teaching resources on the micro course platform by introducing federated incremental learning algorithm.The experimental results show that the video teaching resource sharing method of micro course platform based on federated incremental learning algorithm has the lowest transmission delay and the higher sharing success rate,so it has certain practicality.

关 键 词：联邦增量学习 微课平台 资源共享 相似性 

分 类 号：G642[文化科学—高等教育学]