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Federated Alternate Training (FAT): Leveraging Unannotated Data Silos in
  Federated Segmentation for Medical Imaging

Federated Alternate Training (FAT): Leveraging Unannotated Data Silos in Federated Segmentation for Medical Imaging

18 April 2023
Erum Mushtaq
Yavuz Faruk Bakman
Jie Ding
A. Avestimehr
    FedML
ArXivPDFHTML

Papers citing "Federated Alternate Training (FAT): Leveraging Unannotated Data Silos in Federated Segmentation for Medical Imaging"

3 / 3 papers shown
Title
Federated Computing -- Survey on Building Blocks, Extensions and Systems
Federated Computing -- Survey on Building Blocks, Extensions and Systems
René Schwermer
R. Mayer
Hans-Arno Jacobsen
FedML
43
1
0
03 Apr 2024
A Framework for Incentivized Collaborative Learning
A Framework for Incentivized Collaborative Learning
Xinran Wang
Qi Le
Ahmad Faraz Khan
Jie Ding
A. Anwar
FedML
39
4
0
26 May 2023
MAPSeg: Unified Unsupervised Domain Adaptation for Heterogeneous Medical
  Image Segmentation Based on 3D Masked Autoencoding and Pseudo-Labeling
MAPSeg: Unified Unsupervised Domain Adaptation for Heterogeneous Medical Image Segmentation Based on 3D Masked Autoencoding and Pseudo-Labeling
Xuzhe Zhang
Yu-Hsun Wu
S. Entringer
H. Simhan
Jia Guo
...
A. Jackowski
Haifeng Li
J. Posner
Andrew F. Laine
Yun Wang
OOD
20
11
0
16 Mar 2023
1