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A Two-Stage Federated Transfer Learning Framework in Medical Images
  Classification on Limited Data: A COVID-19 Case Study
v1v2 (latest)

A Two-Stage Federated Transfer Learning Framework in Medical Images Classification on Limited Data: A COVID-19 Case Study

Future Technologies Conference (FT), 2022
24 March 2022
Alex Zhang
Naomi Fengqi Li
    OODFedML
ArXiv (abs)PDFHTML

Papers citing "A Two-Stage Federated Transfer Learning Framework in Medical Images Classification on Limited Data: A COVID-19 Case Study"

2 / 2 papers shown
Title
Model-Contrastive Federated Domain Adaptation
Model-Contrastive Federated Domain Adaptation
Chang’an Yi
Haotian Chen
Yonghui Xu
Yifan Zhang
MedImFedML
165
0
0
07 May 2023
FedDBL: Communication and Data Efficient Federated Deep-Broad Learning
  for Histopathological Tissue Classification
FedDBL: Communication and Data Efficient Federated Deep-Broad Learning for Histopathological Tissue ClassificationIEEE Transactions on Cybernetics (IEEE Trans. Cybern.), 2023
Tianpeng Deng
Yanqi Huang
Guoqiang Han
Zhenwei Shi
Jiatai Lin
Qianming Dou
Zaiyi Liu
Xiaohui Guo
Xin Chen
Chu Han
FedML
220
10
0
24 Feb 2023
1