FL-Net is a novel federated clinical research framework that integrates modular data harmonization, data discovery, disclosure control, securely built versioned FL-Net-Tools and containerized federated workflow execution into a persistent network and enables the re-use of harmonized data and workflows across studies.
Simon Süwer, Juliane Klemm, E. Acitelli et al.· arXiv.org· 0 citations
Federated learning enables collaborative training without sharing patient-level data, but most studies remain simulations. Based on five requirements derived from the literature, we analyzed 14 FL frameworks and found that none fully satisfied these requirements. We present FL-Net, a novel federated clinical research f...
Simon Süwer, Juliane Klemm, E. Acitelli et al.· 0 citations
fedflow, a Python-based command-line tool for headless orchestration of FL tasks with FeatureCloud, is introduced, a Python-based command-line tool for headless orchestration of FL tasks with FeatureCloud that enables automation of multi-client FL tasks, facilitates embedding of FeatureCloud in standard bioinformatics...
