Toward a tipping point in federated learning in healthcare and life sciences
We discuss the real-world application of federated learning (FL) in the healthcare and life sciences industry, noting a tipping point in its adoption beyond academia. Sharing our experiences with multi-hospital and multi-pharma collaborations, we highlight the importance of involving key stakeholders to develop production-grade FL solutions that are fully compliant with stringent privacy and security standards.
Authors
- Holger R. Roth (ORCID: https://orcid.org/0000-0002-3662-8743)
- José Tomás Prieto (ORCID: https://orcid.org/0000-0002-5156-395X)
- E. Dobson
- Inken Hagestedt
- Ian Hales
- Eric Boernert
- Michael A Hoeh
- Robin Röhm
Institutions
- Roche (Switzerland) (CH)
- Nvidia (United States) (US)
Publication Details
- Journal
- Patterns
- Published
- 2024-11-01
- DOI
- https://doi.org/10.1016/j.patter.2024.101077
- Citations
- 1
- Primary Topic
- Ethics in Clinical Research
- Type
- article
- Field-Weighted Citation Impact
- 0.54