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Article
Open AccessA study on interoperability between two Personal Health Train infrastructures in leukodystrophy data analysis
The development of platforms for distributed analytics has been driven by a growing need to comply with various governance-related or legal constraints. Among these platforms, the so-called Personal Health Tra...
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Chapter and Conference Paper
Optimized Federated Learning on Class-Biased Distributed Data Sources
Due to privacy protection, the conventional machine learning approaches, which upload all data to a central location, has become less feasible. Federated learning, a privacy-preserving distributed machine lear...
