Privacy-preserving methods for clinical and biomedical AI
JFPAI publishes research on federated learning, differential privacy, secure computation and synthetic data for clinical and biomedical AI.
Launch phase. The founding editorial board is being appointed. The journal will open for submissions once the board is in place. Articles accepted during the launch phase are published without an article processing charge. Information for authors
Scope
Federated LearningDifferential PrivacySecure ComputationSynthetic Health DataDe-identification
Checks before peer reviewWhat is checked before a manuscript is sent to reviewers.Editorial boardFounding board: appointments in progress.PublisherVallensis Publishing, Glis, Switzerland.
The journal publishes continuously: articles appear online as soon as they have been accepted and prepared, without issues or volumes.
