Research on the Application of Differential Privacy-Based Federated Learning for Student Grade Prediction

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Large Model and Smart Education | 更新时间：2025-12-15

- Research on the Application of Differential Privacy-Based Federated Learning for Student Grade Prediction
- Software Guide Vol. 24, Issue 11, Pages: 23-28(2025)
- 作者机构：
  
  1.青海大学计算机技术与应用学院
  2.青海省智能计算与应用实验室，青海西宁 810016
- 作者简介：
- 基金信息：
- DOI：10.11907/rjdk.251480
  CLC： G434
- Received：23 July 2025，
  
  Published：18 November 2025
- 稿件说明：
移动端阅览
姚河花,赵紫研.基于差分隐私的联邦学习在学生成绩等级预测中的应用研究[J].软件导刊,2025,24(11):23-28.

YAO Hehua,ZHAO Ziyan.Research on the Application of Differential Privacy-Based Federated Learning for Student Grade Prediction[J].Software Guide,2025,24(11):23-28.
姚河花,赵紫研.基于差分隐私的联邦学习在学生成绩等级预测中的应用研究[J].软件导刊,2025,24(11):23-28. DOI： 10.11907/rjdk.251480.

YAO Hehua,ZHAO Ziyan.Research on the Application of Differential Privacy-Based Federated Learning for Student Grade Prediction[J].Software Guide,2025,24(11):23-28. DOI： 10.11907/rjdk.251480.

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