Open Access

npj Digital Medicine

, volume 3 , issue 1 , publication number 119

The future of digital health with federated learning

Nicola Rieke ^{1, 2}

Jonny Hancox ³

Wenqi Li ⁴

Fausto Milletari ¹

Holger Roth ⁵

Shadi Albarqouni ^{2, 6}

Spyridon Bakas ⁷

Mathieu N. Galtier ⁸

Bennett A. Landman ⁹

Klaus Maier-Hein ^{10, 11}

Sebastien Ourselin ¹²

Micah Sheller ¹³

Ronald M. Summers ¹⁴

Andrew Trask ^{15, 16, 17}

Daguang Xu ⁵

Maximilian Baust ¹

M Isabel Cardoso ¹²

Hide authors affiliations Show authors affiliations: 17 affiliations

NVIDIA GmbH, Munich, Germany |

Technical University of Munich (TUM), Munich, Germany |

NVIDIA Ltd, Reading, UK |

⁴

NVIDIA Ltd, Cambridge, UK |

⁵

Nvidia Corporation, Bethesda, USA |

⁶

IMPERIAL College London, London, UK |

⁷

University of Pennsylvania (UPenn), Philadelphia, USA |

⁸

Owkin, Paris, France |

⁹

Vanderbilt University, Nashville, USA |

¹⁰

German Cancer Research Center (dkfz), Heidelberg, Germany |

¹¹

Heidelberg University Hospital, Heidelberg, Germany |

¹²

King’s College London (KCL), London, UK |

¹³

Intel Corporation, Santa Clara, USA |

¹⁴

Clinical Center, National Institutes of Health (NIH), Bethesda, USA |

¹⁵

OpenMined, Oxford, UK |

¹⁶

University Of Oxford, Oxford, UK |

¹⁷

Centre for the Governance of AI (GovAI), Oxford, UK |

Publication type: Journal Article

Publication date: 2020-09-14

Springer Nature

npj Digital Medicine

scimago Q1

wos Q1

SJR: 4.164

CiteScore: 20.3

Impact factor: 15.1

ISSN: 23986352

DOI: 10.1038/s41746-020-00323-1

Copy DOI

PubMed ID: 33015372

Medicine (miscellaneous)

Computer Science Applications

Health Informatics

Health Information Management

Abstract

Data-driven machine learning (ML) has emerged as a promising approach for building accurate and robust statistical models from medical data, which is collected in huge volumes by modern healthcare systems. Existing medical data is not fully exploited by ML primarily because it sits in data silos and privacy concerns restrict access to this data. However, without access to sufficient data, ML will be prevented from reaching its full potential and, ultimately, from making the transition from research to clinical practice. This paper considers key factors contributing to this issue, explores how federated learning (FL) may provide a solution for the future of digital health and highlights the challenges and considerations that need to be addressed.

Found

2 citations

Bujotzek Markus

3 publications, 14 citations

h-index: 3

German Cancer Research Center

Heidelberg University

2 citations

Le Duy-Dong

18 publications, 33 citations

h-index: 4

University of Economics Ho Chi Minh City

Industrial University of Ho Chi Minh City

1 citation

ALQATF MAJJED

13 publications, 489 citations

h-index: 7

University of Galway

University of Science and Technology of China

1 citation

Rahman Md. Motinur

🥼 🤝

16 publications, 402 citations

h-index: 9

Arkansas State University

Bangladesh Atomic Energy Commission

Research interests

Machine learning

Power electronics

1 citation

Annappa Prof.

🥼 🤝

139 publications, 903 citations, 5 reviews

h-index: 13

National Institute of Technology Karnataka, Surathkal

Research interests

Big Data Analytics

Cloud computing

1 citation

Otoum Yazan

🥼

PhD in Engineering

7 publications, 436 citations, 4 reviews

Internet of Things (IoTs)

Machine learning

1 citation

Trakadas Panagiotis

52 publications, 1 155 citations, 6 reviews

h-index: 16

National and Kapodistrian University of Athens

1 citation

Ozair Ahmad

171 publications, 2 352 citations, 345 reviews

h-index: 18

University of Oxford

University of Maryland, Baltimore

1 citation

Karabekmez Muhammed Erkan

🥼 🤝

PhD in Biological/biomedical sciences, associate professor

22 publications, 293 citations, 4 reviews

h-index: 6

Istanbul Medeniyet University

Harvard University

Brigham and Women's Hospital

Research interests

Bioinformatics

Computational Biology

Microbial genomics

Network and systems biology

Systems Biology

Top-30

Journals

	10 20 30 40 50 60 70 80
Lecture Notes in Computer Science	Lecture Notes in Computer Science, 72, 3.95% Lecture Notes in Computer Science 72 publications, 3.95%
IEEE Access	IEEE Access, 43, 2.36% IEEE Access 43 publications, 2.36%
npj Digital Medicine	npj Digital Medicine, 24, 1.32% npj Digital Medicine 24 publications, 1.32%
Scientific Reports	Scientific Reports, 23, 1.26% Scientific Reports 23 publications, 1.26%
IEEE Internet of Things Journal	IEEE Internet of Things Journal, 22, 1.21% IEEE Internet of Things Journal 22 publications, 1.21%
Lecture Notes in Networks and Systems	Lecture Notes in Networks and Systems, 21, 1.15% Lecture Notes in Networks and Systems 21 publications, 1.15%
IEEE Transactions on Medical Imaging	IEEE Transactions on Medical Imaging, 18, 0.99% IEEE Transactions on Medical Imaging 18 publications, 0.99%
Journal of Medical Internet Research	Journal of Medical Internet Research, 16, 0.88% Journal of Medical Internet Research 16 publications, 0.88%
Sensors	Sensors, 16, 0.88% Sensors 16 publications, 0.88%
Computers in Biology and Medicine	Computers in Biology and Medicine, 16, 0.88% Computers in Biology and Medicine 16 publications, 0.88%
Medical Image Analysis	Medical Image Analysis, 16, 0.88% Medical Image Analysis 16 publications, 0.88%
Electronics (Switzerland)	Electronics (Switzerland), 15, 0.82% Electronics (Switzerland) 15 publications, 0.82%
Communications in Computer and Information Science	Communications in Computer and Information Science, 15, 0.82% Communications in Computer and Information Science 15 publications, 0.82%
Applied Sciences (Switzerland)	Applied Sciences (Switzerland), 14, 0.77% Applied Sciences (Switzerland) 14 publications, 0.77%
Diagnostics	Diagnostics, 11, 0.6% Diagnostics 11 publications, 0.6%
Nature Machine Intelligence	Nature Machine Intelligence, 10, 0.55% Nature Machine Intelligence 10 publications, 0.55%
Procedia Computer Science	Procedia Computer Science, 10, 0.55% Procedia Computer Science 10 publications, 0.55%
Future Generation Computer Systems	Future Generation Computer Systems, 10, 0.55% Future Generation Computer Systems 10 publications, 0.55%
Patterns	Patterns, 10, 0.55% Patterns 10 publications, 0.55%
IEEE Journal of Biomedical and Health Informatics	IEEE Journal of Biomedical and Health Informatics, 10, 0.55% IEEE Journal of Biomedical and Health Informatics 10 publications, 0.55%
Advances in Healthcare Information Systems and Administration	Advances in Healthcare Information Systems and Administration, 10, 0.55% Advances in Healthcare Information Systems and Administration 10 publications, 0.55%
Information Fusion	Information Fusion, 9, 0.49% Information Fusion 9 publications, 0.49%
Computer Methods and Programs in Biomedicine	Computer Methods and Programs in Biomedicine, 9, 0.49% Computer Methods and Programs in Biomedicine 9 publications, 0.49%
PLoS ONE	PLoS ONE, 9, 0.49% PLoS ONE 9 publications, 0.49%
Studies in Computational Intelligence	Studies in Computational Intelligence, 9, 0.49% Studies in Computational Intelligence 9 publications, 0.49%
Expert Systems with Applications	Expert Systems with Applications, 9, 0.49% Expert Systems with Applications 9 publications, 0.49%
ACM Transactions on Intelligent Systems and Technology	ACM Transactions on Intelligent Systems and Technology, 8, 0.44% ACM Transactions on Intelligent Systems and Technology 8 publications, 0.44%
ACM Computing Surveys	ACM Computing Surveys, 8, 0.44% ACM Computing Surveys 8 publications, 0.44%
Artificial Intelligence Review	Artificial Intelligence Review, 8, 0.44% Artificial Intelligence Review 8 publications, 0.44%
	10 20 30 40 50 60 70 80

Publishers

	50 100 150 200 250 300 350 400 450
Springer Nature	Springer Nature, 441, 24.18% Springer Nature 441 publications, 24.18%
Institute of Electrical and Electronics Engineers (IEEE)	Institute of Electrical and Electronics Engineers (IEEE), 422, 23.14% Institute of Electrical and Electronics Engineers (IEEE) 422 publications, 23.14%
Elsevier	Elsevier, 335, 18.37% Elsevier 335 publications, 18.37%
MDPI	MDPI, 139, 7.62% MDPI 139 publications, 7.62%
Wiley	Wiley, 63, 3.45% Wiley 63 publications, 3.45%
Frontiers Media S.A.	Frontiers Media S.A., 48, 2.63% Frontiers Media S.A. 48 publications, 2.63%
Association for Computing Machinery (ACM)	Association for Computing Machinery (ACM), 44, 2.41% Association for Computing Machinery (ACM) 44 publications, 2.41%
JMIR Publications	JMIR Publications, 41, 2.25% JMIR Publications 41 publications, 2.25%
Oxford University Press	Oxford University Press, 27, 1.48% Oxford University Press 27 publications, 1.48%
Cold Spring Harbor Laboratory	Cold Spring Harbor Laboratory, 24, 1.32% Cold Spring Harbor Laboratory 24 publications, 1.32%
Taylor & Francis	Taylor & Francis, 20, 1.1% Taylor & Francis 20 publications, 1.1%
Ovid Technologies (Wolters Kluwer Health)	Ovid Technologies (Wolters Kluwer Health), 19, 1.04% Ovid Technologies (Wolters Kluwer Health) 19 publications, 1.04%
IGI Global	IGI Global, 19, 1.04% IGI Global 19 publications, 1.04%
Public Library of Science (PLoS)	Public Library of Science (PLoS), 17, 0.93% Public Library of Science (PLoS) 17 publications, 0.93%
SAGE	SAGE, 15, 0.82% SAGE 15 publications, 0.82%
IOP Publishing	IOP Publishing, 9, 0.49% IOP Publishing 9 publications, 0.49%
BMJ	BMJ, 6, 0.33% BMJ 6 publications, 0.33%
Cambridge University Press	Cambridge University Press, 6, 0.33% Cambridge University Press 6 publications, 0.33%
Radiological Society of North America (RSNA)	Radiological Society of North America (RSNA), 5, 0.27% Radiological Society of North America (RSNA) 5 publications, 0.27%
Georg Thieme Verlag KG	Georg Thieme Verlag KG, 5, 0.27% Georg Thieme Verlag KG 5 publications, 0.27%
IntechOpen	IntechOpen, 5, 0.27% IntechOpen 5 publications, 0.27%
Hindawi Limited	Hindawi Limited, 4, 0.22% Hindawi Limited 4 publications, 0.22%
Annual Reviews	Annual Reviews, 4, 0.22% Annual Reviews 4 publications, 0.22%
SPIE-Intl Soc Optical Eng	SPIE-Intl Soc Optical Eng, 4, 0.22% SPIE-Intl Soc Optical Eng 4 publications, 0.22%
Tsinghua University Press	Tsinghua University Press, 4, 0.22% Tsinghua University Press 4 publications, 0.22%
British Institute of Radiology	British Institute of Radiology, 3, 0.16% British Institute of Radiology 3 publications, 0.16%
Baishideng Publishing Group	Baishideng Publishing Group, 3, 0.16% Baishideng Publishing Group 3 publications, 0.16%
King Saud University	King Saud University, 3, 0.16% King Saud University 3 publications, 0.16%
AIP Publishing	AIP Publishing, 3, 0.16% AIP Publishing 3 publications, 0.16%
	50 100 150 200 250 300 350 400 450

We do not take into account publications without a DOI.
Statistics recalculated weekly.

Are you a researcher?

Create a profile to get free access to personal recommendations for colleagues and new articles.

PDF

Metrics

1.8k

Cite this

GOST |

Cite this

GOST Copy

Rieke N. et al. The future of digital health with federated learning // npj Digital Medicine. 2020. Vol. 3. No. 1. 119

GOST all authors (up to 50) Copy

Rieke N., Hancox J., Li W., Milletari F., Roth H., Albarqouni S., Bakas S., Galtier M. N., Landman B. A., Maier-Hein K., Ourselin S., Sheller M., Summers R. M., Trask A., Xu D., Baust M., Cardoso M. I. The future of digital health with federated learning // npj Digital Medicine. 2020. Vol. 3. No. 1. 119

RIS |

Cite this

RIS Copy

TY - JOUR

DO - 10.1038/s41746-020-00323-1

UR - https://doi.org/10.1038/s41746-020-00323-1

TI - The future of digital health with federated learning

T2 - npj Digital Medicine

AU - Rieke, Nicola

AU - Hancox, Jonny

AU - Li, Wenqi

AU - Milletari, Fausto

AU - Roth, Holger

AU - Albarqouni, Shadi

AU - Bakas, Spyridon

AU - Galtier, Mathieu N.

AU - Landman, Bennett A.

AU - Maier-Hein, Klaus

AU - Ourselin, Sebastien

AU - Sheller, Micah

AU - Summers, Ronald M.

AU - Trask, Andrew

AU - Xu, Daguang

AU - Baust, Maximilian

AU - Cardoso, M Isabel

PY - 2020

DA - 2020/09/14

PB - Springer Nature

IS - 1

VL - 3

PMID - 33015372

SN - 2398-6352

ER -

BibTex

Cite this

BibTex (up to 50 authors) Copy

@article{2020_Rieke,

author = {Nicola Rieke and Jonny Hancox and Wenqi Li and Fausto Milletari and Holger Roth and Shadi Albarqouni and Spyridon Bakas and Mathieu N. Galtier and Bennett A. Landman and Klaus Maier-Hein and Sebastien Ourselin and Micah Sheller and Ronald M. Summers and Andrew Trask and Daguang Xu and Maximilian Baust and M Isabel Cardoso},

title = {The future of digital health with federated learning},

journal = {npj Digital Medicine},

year = {2020},

volume = {3},

publisher = {Springer Nature},

month = {sep},

url = {https://doi.org/10.1038/s41746-020-00323-1},

number = {1},

pages = {119},

doi = {10.1038/s41746-020-00323-1}

}

Publisher

Springer Nature

Journal

npj Digital Medicine

scimago Q1

wos Q1

SJR

4.164

CiteScore

20.3

Impact factor

15.1

ISSN

23986352 (Electronic)