Real-world federated learning in radiology: hurdles to overcome and benefits to gain
Our findings justify the efforts required to translate FL into real-world applications by demonstrating advantageous performance over alternative approaches. Additionally, they emphasize the importance of strategic organization, robust management of distributed data and infrastructure in real-world settings. With the proposed guide, we are aiming to aid future FL researchers in circumventing pitfalls and accelerating translation of FL into radiological applications.
Authors
- Tobias Penzkofer (ORCID: https://orcid.org/0000-0001-9591-8575)
- Richard R. Ruppel (ORCID: https://orcid.org/0009-0002-7081-0300)
- Marcel Opitz (ORCID: https://orcid.org/0000-0001-7455-8590)
- Rickmer Braren
- Thorsten Persigehl (ORCID: https://orcid.org/0000-0001-5928-4405)
- Jens Kleesiek (ORCID: https://orcid.org/0000-0001-8686-0682)
- Marcus Both (ORCID: https://orcid.org/0000-0001-6357-1538)
- Klaus Maier‐Hein (ORCID: https://orcid.org/0000-0002-6626-2463)
- Moon Kim (ORCID: https://orcid.org/0000-0002-7546-3910)
- Markus Bujotzek (ORCID: https://orcid.org/0009-0006-4550-428X)
- Maximilian Zenk (ORCID: https://orcid.org/0000-0002-8933-5995)
- Stefan Denner (ORCID: https://orcid.org/0009-0008-2302-743X)
- Andreas Bucher (ORCID: https://orcid.org/0000-0001-9194-5955)
- Peter Neher (ORCID: https://orcid.org/0000-0002-5285-7554)
- Eric Frodl
- Manuel Nickel (ORCID: https://orcid.org/0009-0005-6581-5117)
- Ünal Akünal
- Nicolai R. Krekiehn
- Astha Jaiswal
- Felix Döllinger
Institutions
- Goethe University Frankfurt (DE)
- German Cancer Research Center (DE)
- University of Cologne (DE)
- Heidelberg University (DE)
- University Hospital Heidelberg (DE)
- TUM Klinikum (DE)
- University Medical Center (US)
- University Hospital and Clinics (US)
- National Center for Tumor Diseases (DE)
- University Hospital Schleswig-Holstein (DE)
- Essen University Hospital (DE)
- University Hospital Frankfurt (DE)
- Berlin Institute of Health at Charité - Universitätsmedizin Berlin (DE)
- University Hospital Cologne (DE)
- Deutsches Konsortium für Translationale Krebsforschung (DE)
- Technical University of Munich (DE)
- Charité - Universitätsmedizin Berlin (DE)
- University of Lübeck (DE)
Publication Details
- Journal
- Journal of the American Medical Informatics Association
- Published
- 2024-10-25
- DOI
- https://doi.org/10.1093/jamia/ocae259
- Citations
- 14
- Primary Topic
- Privacy-Preserving Technologies in Data
- Type
- article
- Field-Weighted Citation Impact
- 4.86