We introduce fold-stratified cross-validation, a validation methodology that is compatible with privacy-preserving federated learning and that prevents data leakage caused by duplicates of electronic health records (EHRs).

中文翻译：

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折叠分层交叉验证，可实现无偏见和隐私保护的联合学习。

我们引入了折叠分层交叉验证，该验证方法与保留隐私的联合学习兼容，并且可以防止由于重复电子健康记录（EHR）而导致数据泄漏。