首页> Frontiers in artificial intelligence> Entropy-adaptive differential privacy federated learning for student performance prediction and privacy protection: a case study in Python programming.

Entropy-adaptive differential privacy federated learning for student performance prediction and privacy protection: a case study in Python programming.

导出 LinkOut

翻译打印收藏纠错

第一作者： Shanwei,Chen

第一单位： College of Education, Baoji University of Arts and Sciences, Baoji, China.

作者： Shanwei,Chen ^[1] ; Xiuzhi,Qi ^[2]

作者单位： College of Education, Baoji University of Arts and Sciences, Baoji, China. ^[1] Academy of Fine Arts, Baoji University of Arts and Sciences, Baoji, China. ^[2]

关键词 Python programming distributed data analysis entropy-adaptive differential privacy federated learning student performance prediction

DOI 10.3389/frai.2025.1653437

PMID 40988917

发布时间 2025-09-26

翻译满意度评价：

准确一般字义偏差语意偏离译文作用小提交

浏览0

Frontiers in artificial intelligence

2025年8卷

1653437页

相似文献

中文期刊
外文期刊
学位论文
会议论文

浏览0

点击下载本期目录封面

Frontiers in artificial intelligence

2025年8卷

1653437页

检索历史清除

Entropy-adaptive differential privacy federated learning for student performance prediction and privacy protection: a case study in Python programming.

Frontiers in artificial intelligence

相似文献

同项目论文

Frontiers in artificial intelligence

相关期刊

参考文献：
指定格式：	NoteExpress EndNote RefWorks NoteFirst

检索历史 清除

Entropy-adaptive differential privacy federated learning for student performance prediction and privacy protection: a case study in Python programming.

Frontiers in artificial intelligence

相似文献

同项目论文

Frontiers in artificial intelligence

相关期刊

检索历史清除