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2205.11096
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FedNorm: Modality-Based Normalization in Federated Learning for Multi-Modal Liver Segmentation
23 May 2022
Tobias Bernecker
Annette Peters
C. Schlett
F. Bamberg
Fabian J. Theis
Daniel Rueckert
J. Weiss
Shadi Albarqouni
FedML
MedIm
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Papers citing
"FedNorm: Modality-Based Normalization in Federated Learning for Multi-Modal Liver Segmentation"
5 / 5 papers shown
Title
Resource-Efficient Federated Multimodal Learning via Layer-wise and Progressive Training
Ye Lin Tun
Chu Myaet Thwal
Minh N. H. Nguyen
Choong Seon Hong
33
0
0
22 Jul 2024
Multimodal Federated Learning in Healthcare: a Review
Jacob Thrasher
Alina Devkota
Prasiddha Siwakotai
Rohit Chivukula
Pranav Poudel
Chaunbo Hu
Binod Bhattarai
P. Gyawali
28
7
0
14 Oct 2023
Patchwork Learning: A Paradigm Towards Integrative Analysis across Diverse Biomedical Data Sources
Suraj Rajendran
Weishen Pan
M. Sabuncu
Yong Chen
Jiayu Zhou
Fei Wang
49
14
0
10 May 2023
Federated Learning for Medical Applications: A Taxonomy, Current Trends, Challenges, and Future Research Directions
A. Rauniyar
D. Hagos
Debesh Jha
J. E. Haakegaard
Ulas Bagci
D. Rawat
Vladimir Vlassov
OOD
27
90
0
05 Aug 2022
FedBN: Federated Learning on Non-IID Features via Local Batch Normalization
Xiaoxiao Li
Meirui Jiang
Xiaofei Zhang
Michael Kamp
Qi Dou
OOD
FedML
168
786
0
15 Feb 2021
1