Warnat-Herresthal, Stefanie, Schultze, Hartmut ORCID: 0000-0001-5008-7851, Shastry, Krishnaprasad Lingadahalli, Manamohan, Sathyanarayanan, Mukherjee, Saikat, Garg, Vishesh ORCID: 0000-0001-5133-5896, Sarveswara, Ravi, Haendler, Kristian, Pickkers, Peter, Aziz, N. Ahmad, Ktena, Sofia, Tran, Florian, Bitzer, Michael, Ossowski, Stephan, Casadei, Nicolas, Herr, Christian, Petersheim, Daniel, Behrends, Uta, Kern, Fabian, Fehlmann, Tobias, Schommers, Philipp ORCID: 0000-0003-3375-6800, Lehmann, Clara, Augustin, Max, Rybniker, Jan, Altmueller, Janine, Mishra, Neha, Bernardes, Joana P., Kraemer, Benjamin, Bonaguro, Lorenzo, Schulte-Schrepping, Jonas, De Domenico, Elena ORCID: 0000-0003-0336-8284, Siever, Christian, Kraut, Michael, Desai, Milind, Monnet, Bruno, Saridaki, Maria, Siegel, Charles Martin, Drews, Anna, Nuesch-Germano, Melanie, Theis, Heidi, Heyckendorf, Jan, Schreiber, Stefan, Kim-Hellmuth, Sarah ORCID: 0000-0001-8791-5729, Nattermann, Jacob, Skowasch, Dirk, Kurth, Ingo, Keller, Andreas ORCID: 0000-0002-5361-0895, Bals, Robert, Nuernberg, Peter, Riess, Olaf, Rosenstiel, Philip, Netea, Mihai G., Theis, Fabian, Mukherjee, Sach, Backes, Michael, Aschenbrenner, Anna C., Ulas, Thomas, Breteler, Monique M. B., Giamarellos-Bourboulis, Evangelos J., Kox, Matthijs, Becker, Matthias, Cheran, Sorin, Woodacre, Michael S., Goh, Eng Lim and Schultze, Joachim L. ORCID: 0000-0003-2812-9853 (2021). Swarm Learning for decentralized and confidential clinical machine learning. Nature, 594 (7862). S. 265 - 290. BERLIN: NATURE RESEARCH. ISSN 1476-4687

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Abstract

Fast and reliable detection of patients with severe and heterogeneous illnesses is a major goal of precision medicine(1,2). Patients with leukaemia can be identified using machine learning on the basis of their blood transcriptomes(3). However, there is an increasing divide between what is technically possible and what is allowed, because of privacy legislation(4,5). Here, to facilitate the integration of any medical data from any data owner worldwide without violating privacy laws, we introduce Swarm Learning-a decentralized machine-learning approach that unites edge computing, blockchain-based peer-to-peer networking and coordination while maintaining confidentiality without the need for a central coordinator, thereby going beyond federated learning. To illustrate the feasibility of using Swarm Learning to develop disease classifiers using distributed data, we chose four use cases of heterogeneous diseases (COVID-19, tuberculosis, leukaemia and lung pathologies). With more than 16,400 blood transcriptomes derived from 127 clinical studies with non-uniform distributions of cases and controls and substantial study biases, as well as more than 95,000 chest X-ray images, we show that Swarm Learning classifiers outperform those developed at individual sites. In addition, Swarm Learning completely fulfils local confidentiality regulations by design. We believe that this approach will notably accelerate the introduction of precision medicine.

Item Type: Journal Article
Creators:
CreatorsEmailORCIDORCID Put Code
Warnat-Herresthal, StefanieUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Schultze, HartmutUNSPECIFIEDorcid.org/0000-0001-5008-7851UNSPECIFIED
Shastry, Krishnaprasad LingadahalliUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Manamohan, SathyanarayananUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Mukherjee, SaikatUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Garg, VisheshUNSPECIFIEDorcid.org/0000-0001-5133-5896UNSPECIFIED
Sarveswara, RaviUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Haendler, KristianUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Pickkers, PeterUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Aziz, N. AhmadUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Ktena, SofiaUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Tran, FlorianUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Bitzer, MichaelUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Ossowski, StephanUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Casadei, NicolasUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Herr, ChristianUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Petersheim, DanielUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Behrends, UtaUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Kern, FabianUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Fehlmann, TobiasUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Schommers, PhilippUNSPECIFIEDorcid.org/0000-0003-3375-6800UNSPECIFIED
Lehmann, ClaraUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Augustin, MaxUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Rybniker, JanUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Altmueller, JanineUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Mishra, NehaUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Bernardes, Joana P.UNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Kraemer, BenjaminUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Bonaguro, LorenzoUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Schulte-Schrepping, JonasUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
De Domenico, ElenaUNSPECIFIEDorcid.org/0000-0003-0336-8284UNSPECIFIED
Siever, ChristianUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Kraut, MichaelUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Desai, MilindUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Monnet, BrunoUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Saridaki, MariaUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Siegel, Charles MartinUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Drews, AnnaUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Nuesch-Germano, MelanieUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Theis, HeidiUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Heyckendorf, JanUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Schreiber, StefanUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Kim-Hellmuth, SarahUNSPECIFIEDorcid.org/0000-0001-8791-5729UNSPECIFIED
Nattermann, JacobUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Skowasch, DirkUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Kurth, IngoUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Keller, AndreasUNSPECIFIEDorcid.org/0000-0002-5361-0895UNSPECIFIED
Bals, RobertUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Nuernberg, PeterUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Riess, OlafUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Rosenstiel, PhilipUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Netea, Mihai G.UNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Theis, FabianUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Mukherjee, SachUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Backes, MichaelUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Aschenbrenner, Anna C.UNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Ulas, ThomasUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Breteler, Monique M. B.UNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Giamarellos-Bourboulis, Evangelos J.UNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Kox, MatthijsUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Becker, MatthiasUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Cheran, SorinUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Woodacre, Michael S.UNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Goh, Eng LimUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Schultze, Joachim L.UNSPECIFIEDorcid.org/0000-0003-2812-9853UNSPECIFIED
URN: urn:nbn:de:hbz:38-605547
DOI: 10.1038/s41586-021-03583-3
Journal or Publication Title: Nature
Volume: 594
Number: 7862
Page Range: S. 265 - 290
Date: 2021
Publisher: NATURE RESEARCH
Place of Publication: BERLIN
ISSN: 1476-4687
Language: English
Faculty: Unspecified
Divisions: Unspecified
Subjects: no entry
Uncontrolled Keywords:
KeywordsLanguage
PRIVACY; CLASSIFICATION; CLOUDMultiple languages
Multidisciplinary SciencesMultiple languages
URI: http://kups.ub.uni-koeln.de/id/eprint/60554

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