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Spatio-Temporal Split Learning for Privacy-Preserving Medical Platforms:
  Case Studies with COVID-19 CT, X-Ray, and Cholesterol Data

Spatio-Temporal Split Learning for Privacy-Preserving Medical Platforms: Case Studies with COVID-19 CT, X-Ray, and Cholesterol Data

20 August 2021
Yoo Jeong Ha
M. Yoo
Gusang Lee
Soyi Jung
Sae Won Choi
Joongheon Kim
Seehwan Yoo
    OOD
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Papers citing "Spatio-Temporal Split Learning for Privacy-Preserving Medical Platforms: Case Studies with COVID-19 CT, X-Ray, and Cholesterol Data"

10 / 10 papers shown
Title
Federated Split Learning for Human Activity Recognition with
  Differential Privacy
Federated Split Learning for Human Activity Recognition with Differential Privacy
Josue Ndeko
Shaba Shaon
Aubrey Beal
Avimanyu Sahoo
Dinh C. Nguyen
FedML
22
0
0
09 Nov 2024
Edge AI Collaborative Learning: Bayesian Approaches to Uncertainty
  Estimation
Edge AI Collaborative Learning: Bayesian Approaches to Uncertainty Estimation
Gleb I. Radchenko
Victoria Andrea Fill
26
0
0
11 Oct 2024
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
GAN-based Vertical Federated Learning for Label Protection in Binary
  Classification
GAN-based Vertical Federated Learning for Label Protection in Binary Classification
Yujin Han
Leying Guan
FedML
35
0
0
04 Feb 2023
Protecting Split Learning by Potential Energy Loss
Protecting Split Learning by Potential Energy Loss
Fei Zheng
Chaochao Chen
Lingjuan Lyu
Xinyi Fu
Xing Fu
Weiqiang Wang
Xiaolin Zheng
Jianwei Yin
49
4
0
18 Oct 2022
Similarity-based Label Inference Attack against Training and Inference
  of Split Learning
Similarity-based Label Inference Attack against Training and Inference of Split Learning
Junlin Liu
Xinchen Lyu
Qimei Cui
Xiaofeng Tao
FedML
29
26
0
10 Mar 2022
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
Yoo Jeong Ha
Gusang Lee
M. Yoo
Soyi Jung
Seehwan Yoo
Joongheon Kim
OOD
25
25
0
21 Feb 2022
Quantum Distributed Deep Learning Architectures: Models, Discussions,
  and Applications
Quantum Distributed Deep Learning Architectures: Models, Discussions, and Applications
Yunseok Kwak
Won Joon Yun
Jae Pyoung Kim
Hyunhee Cho
Minseok Choi
Soyi Jung
Joongheon Kim
50
41
0
19 Feb 2022
Resource-Efficient Deep Learning: A Survey on Model-, Arithmetic-, and
  Implementation-Level Techniques
Resource-Efficient Deep Learning: A Survey on Model-, Arithmetic-, and Implementation-Level Techniques
JunKyu Lee
L. Mukhanov
A. S. Molahosseini
U. Minhas
Yang Hua
Jesus Martinez del Rincon
K. Dichev
Cheol-Ho Hong
Hans Vandierendonck
38
29
0
30 Dec 2021
Spatio-Temporal Split Learning for Autonomous Aerial Surveillance using
  Urban Air Mobility (UAM) Networks
Spatio-Temporal Split Learning for Autonomous Aerial Surveillance using Urban Air Mobility (UAM) Networks
Yoo Jeong Ha
Soyi Jung
Jae-Hyun Kim
Marco Levorato
Joongheon Kim
21
3
0
15 Nov 2021
1