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Feasibility Study of Multi-Site Split Learning for Privacy-Preserving
  Medical Systems under Data Imbalance Constraints in COVID-19, X-Ray, and
  Cholesterol Dataset

Feasibility Study of Multi-Site Split Learning for Privacy-Preserving Medical Systems under Data Imbalance Constraints in COVID-19, X-Ray, and Cholesterol Dataset

21 February 2022
Yoo Jeong Ha
Gusang Lee
M. Yoo
Soyi Jung
Seehwan Yoo
Joongheon Kim
    OOD
ArXivPDFHTML

Papers citing "Feasibility Study of Multi-Site Split Learning for Privacy-Preserving Medical Systems under Data Imbalance Constraints in COVID-19, X-Ray, and Cholesterol Dataset"

2 / 2 papers shown
Title
Entropy-Aware Similarity for Balanced Clustering: A Case Study with
  Melanoma Detection
Entropy-Aware Similarity for Balanced Clustering: A Case Study with Melanoma Detection
Seokshin Son
Soohyun Park
Joongheon Kim
14
2
0
11 May 2023
Split-U-Net: Preventing Data Leakage in Split Learning for Collaborative
  Multi-Modal Brain Tumor Segmentation
Split-U-Net: Preventing Data Leakage in Split Learning for Collaborative Multi-Modal Brain Tumor Segmentation
H. Roth
Ali Hatamizadeh
Ziyue Xu
Can Zhao
Wenqi Li
Andriy Myronenko
Daguang Xu
FedML
37
9
0
22 Aug 2022
1