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Making Cross-Continental Federated Learning Repeatable with FLIP: a Multi-Application Study

Garcia-Dias, Rafael et al.
arXiv (All) · Papers
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and-cluster-computingc-2-4computer-vision-and-pattern-recognitiondistributedi-2-11j-3machine-learningparallel
Federated learning (FL) in healthcare remains challenging, as the overhead of rebuilding governance guarantees for every collaboration stops most projects at the proof-of-concept stage. Here we present FLIP (Federated Learning Interoperability Platform), an open-source, multi-application platform th
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