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Comparison of Privacy-Preserving Distributed Deep Learning Methods in
  Healthcare

Comparison of Privacy-Preserving Distributed Deep Learning Methods in Healthcare

Annual Conference on Medical Image Understanding and Analysis (MIUA), 2020
23 December 2020
M. Gawali
S. ArvindC.
Shriya Suryavanshi
Harshit Madaan
A. Gaikwad
KN BhanuPrakash
V. Kulkarni
Aniruddha Pant
    FedML
ArXiv (abs)PDFHTML

Papers citing "Comparison of Privacy-Preserving Distributed Deep Learning Methods in Healthcare"

13 / 13 papers shown
Model Partition and Resource Allocation for Split Learning in Vehicular
  Edge Networks
Model Partition and Resource Allocation for Split Learning in Vehicular Edge Networks
Lu Yu
Zheng Chang
Yunjian Jia
Geyong Min
261
9
0
11 Nov 2024
From Challenges and Pitfalls to Recommendations and Opportunities: Implementing Federated Learning in Healthcare
From Challenges and Pitfalls to Recommendations and Opportunities: Implementing Federated Learning in Healthcare
Ming Li
Pengcheng Xu
Junjie Hu
Zeyu Tang
Guang Yang
FedML
440
69
0
15 Sep 2024
Parallel Split Learning with Global Sampling
Parallel Split Learning with Global Sampling
Mohammad Kohankhaki
Ahmad Ayad
Mahdi Barhoush
A. Schmeink
366
3
0
22 Jul 2024
SCALA: Split Federated Learning with Concatenated Activations and Logit Adjustments
SCALA: Split Federated Learning with Concatenated Activations and Logit Adjustments
Jiarong Yang
Yuan Liu
FedML
339
3
0
08 May 2024
Quality-Adaptive Split-Federated Learning for Segmenting Medical Images
  with Inaccurate Annotations
Quality-Adaptive Split-Federated Learning for Segmenting Medical Images with Inaccurate AnnotationsIEEE International Symposium on Biomedical Imaging (ISBI), 2023
Zahra Hafezi Kafshgari
C. Shiranthika
Parvaneh Saeedi
Ivan V. Bajić
FedML
222
6
0
28 Apr 2023
Combined Federated and Split Learning in Edge Computing for Ubiquitous
  Intelligence in Internet of Things: State of the Art and Future Directions
Combined Federated and Split Learning in Edge Computing for Ubiquitous Intelligence in Internet of Things: State of the Art and Future DirectionsItalian National Conference on Sensors (INS), 2022
Qiang Duan
Shijing Hu
Ruijun Deng
Zhihui Lu
FedML
253
83
0
20 Jul 2022
Application of Federated Learning in Building a Robust COVID-19 Chest
  X-ray Classification Model
Application of Federated Learning in Building a Robust COVID-19 Chest X-ray Classification Model
A. Bhattacharya
M. Gawali
J. Seth
V. Kulkarni
FedMLOOD
167
9
0
22 Apr 2022
Enabling All In-Edge Deep Learning: A Literature Review
Enabling All In-Edge Deep Learning: A Literature ReviewIEEE Access (IEEE Access), 2022
Praveen Joshi
Mohammed Hasanuzzaman
Chandra Thapa
Haithem Afli
T. Scully
338
42
0
07 Apr 2022
Robust and Privacy-Preserving Collaborative Learning: A Comprehensive
  Survey
Robust and Privacy-Preserving Collaborative Learning: A Comprehensive Survey
Shangwei Guo
Xu Zhang
Feiyu Yang
Tianwei Zhang
Yan Gan
Tao Xiang
Yang Liu
FedML
390
13
0
19 Dec 2021
Levels of Autonomous Radiology
Levels of Autonomous Radiology
S. Ghuwalewala
V. Kulkarni
R. Pant
A. Kharat
MedIm
248
14
0
14 Dec 2021
AdaSplit: Adaptive Trade-offs for Resource-constrained Distributed Deep
  Learning
AdaSplit: Adaptive Trade-offs for Resource-constrained Distributed Deep Learning
Ayush Chopra
Surya Kant Sahu
Abhishek Singh
Abhinav Java
Praneeth Vepakomma
Vivek Sharma
Ramesh Raskar
243
31
0
02 Dec 2021
Vulnerability Due to Training Order in Split Learning
Vulnerability Due to Training Order in Split Learning
Harshit Madaan
M. Gawali
V. Kulkarni
Aniruddha Pant
FedML
253
10
0
26 Mar 2021
Key Technology Considerations in Developing and Deploying Machine
  Learning Models in Clinical Radiology Practice
Key Technology Considerations in Developing and Deploying Machine Learning Models in Clinical Radiology PracticeJMIR Medical Informatics (JMIR Med Inform), 2021
V. Kulkarni
M. Gawali
A. Kharat
VLM
284
29
0
03 Feb 2021
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