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Recent Methodological Advances in Federated Learning for Healthcare

Recent Methodological Advances in Federated Learning for Healthcare

4 October 2023
Fan Zhang
Daniel Kreuter
Yichen Chen
Sören Dittmer
Samuel Tull
Tolou Shadbahr
BloodCounts Collaboration
J. Preller
James H. F. Rudd
J. A. Aston
Carola-Bibiane Schönlieb
Nicholas S. Gleadall
Michael Roberts
    FedML
    OOD
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Papers citing "Recent Methodological Advances in Federated Learning for Healthcare"

8 / 8 papers shown
Title
Federated learning, ethics, and the double black box problem in medical AI
Federated learning, ethics, and the double black box problem in medical AI
Joshua Hatherley
Anders Søgaard
Angela Ballantyne
Ruben Pauwels
FedML
58
0
0
29 Apr 2025
SecureFedYJ: a safe feature Gaussianization protocol for Federated
  Learning
SecureFedYJ: a safe feature Gaussianization protocol for Federated Learning
Tanguy Marchand
Boris Muzellec
C. Béguier
Jean Ogier du Terrail
M. Andreux
FedML
26
9
0
04 Oct 2022
FedStack: Personalized activity monitoring using stacked federated
  learning
FedStack: Personalized activity monitoring using stacked federated learning
T. Shaik
Xiaohui Tao
Niall Higgins
R. Gururajan
Yuefeng Li
Xujuan Zhou
Usha R. Acharya
FedML
19
60
0
27 Sep 2022
Federated Multi-View Learning for Private Medical Data Integration and
  Analysis
Federated Multi-View Learning for Private Medical Data Integration and Analysis
Sicong Che
Hao Peng
Lichao Sun
Yong Chen
Lifang He
FedML
56
40
0
04 May 2021
Reducing bias and increasing utility by federated generative modeling of
  medical images using a centralized adversary
Reducing bias and increasing utility by federated generative modeling of medical images using a centralized adversary
Jean-Francois Rajotte
S. Mukherjee
Caleb Robinson
Anthony Ortiz
Christopher West
J. L. Ferres
R. Ng
FedML
MedIm
122
40
0
18 Jan 2021
FedHome: Cloud-Edge based Personalized Federated Learning for In-Home
  Health Monitoring
FedHome: Cloud-Edge based Personalized Federated Learning for In-Home Health Monitoring
Qiong Wu
Xu Chen
Zhi Zhou
Junshan Zhang
FedML
150
269
0
14 Dec 2020
The Future of Digital Health with Federated Learning
The Future of Digital Health with Federated Learning
Nicola Rieke
Jonny Hancox
Wenqi Li
Fausto Milletari
H. Roth
...
Ronald M. Summers
Andrew Trask
Daguang Xu
Maximilian Baust
M. Jorge Cardoso
OOD
174
1,698
0
18 Mar 2020
SMOTE: Synthetic Minority Over-sampling Technique
SMOTE: Synthetic Minority Over-sampling Technique
Nitesh V. Chawla
Kevin W. Bowyer
Lawrence Hall
W. Kegelmeyer
AI4TS
160
25,214
0
09 Jun 2011
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