为医疗保健中的联合学习项目提供治理框架
Johan van Soest1,2,3, Luis Sanchez Gomez3, Leonard Wee2
1Brightlands Institute for Smart Society (BISS), Faculty of Science and Engineering, Maastricht University, The Netherlands.
Studies in health technology and informatics
|May 17, 2025
概括
一个新的治理框架确保了安全的联邦学习 (FL) 实施. 该框架允许在现有的隐私法规内部署FL,确认FL不是隐私漏洞.
科学领域:
- 计算机科学 计算机科学
- 信息技术 信息技术 信息技术
- 数据 隐私 数据 隐私 数据
背景情况:
- 联邦学习 (FL) 的采用正在增加.
- 一个强大的治理框架对于安全和合规的FL部署至关重要.
- 现有的隐私法规给FL的实施带来了挑战.
研究的目的:
- 为联邦学习项目提出一个新的治理框架.
- 展示FL内部治理协议的实际应用.
- 评估FL与当前隐私法规的兼容性.
主要方法:
- 制定一个针对FL的综合治理框架.
- 分析在FL项目中应用治理协议的频率和背景.
- 评估框架在确保监管合规方面的有效性.
主要成果:
- 拟议的治理框架有助于安全实施联合学习.
- 框架内的协议在各个项目中都得到了一致的应用.
- 联合学习,当管理时,可以在现有的隐私法规范围内运行.
结论:
- 联合学习不是绕过隐私法律的方法.
- 开发的治理框架为合规地实施FL提供了一条可行的途径.
- 有效的治理是利用FL的好处的关键,同时遵守隐私标准.
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