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FedDPGAN: Federated Differentially Private Generative Adversarial
  Networks Framework for the Detection of COVID-19 Pneumonia

FedDPGAN: Federated Differentially Private Generative Adversarial Networks Framework for the Detection of COVID-19 Pneumonia

26 April 2021
Longling Zhang
Bochen Shen
A. Barnawi
Shan Xi
Neeraj Kumar
Yi Wu
    FedML
    MedIm
ArXivPDFHTML

Papers citing "FedDPGAN: Federated Differentially Private Generative Adversarial Networks Framework for the Detection of COVID-19 Pneumonia"

12 / 12 papers shown
Title
Subgraph Federated Learning for Local Generalization
Sungwon Kim
Yoonho Lee
Yunhak Oh
Namkyeong Lee
Sukwon Yun
Junseok Lee
Sein Kim
Carl Yang
Chanyoung Park
FedML
OOD
86
1
0
06 Mar 2025
A Systematic Review of Federated Generative Models
A Systematic Review of Federated Generative Models
Ashkan Vedadi Gargary
Emiliano De Cristofaro
AI4CE
38
2
0
26 May 2024
Feature Matching Data Synthesis for Non-IID Federated Learning
Feature Matching Data Synthesis for Non-IID Federated Learning
Zijian Li
Yuchang Sun
Jiawei Shao
Yuyi Mao
Jessie Hui Wang
Jun Zhang
28
20
0
09 Aug 2023
A Survey of What to Share in Federated Learning: Perspectives on Model
  Utility, Privacy Leakage, and Communication Efficiency
A Survey of What to Share in Federated Learning: Perspectives on Model Utility, Privacy Leakage, and Communication Efficiency
Jiawei Shao
Zijian Li
Wenqiang Sun
Tailin Zhou
Yuchang Sun
Lumin Liu
Zehong Lin
Yuyi Mao
Jun Zhang
FedML
43
23
0
20 Jul 2023
Differentially Private Diffusion Models Generate Useful Synthetic Images
Differentially Private Diffusion Models Generate Useful Synthetic Images
Sahra Ghalebikesabi
Leonard Berrada
Sven Gowal
Ira Ktena
Robert Stanforth
Jamie Hayes
Soham De
Samuel L. Smith
Olivia Wiles
Borja Balle
DiffM
31
69
0
27 Feb 2023
Personalized Privacy-Preserving Framework for Cross-Silo Federated
  Learning
Personalized Privacy-Preserving Framework for Cross-Silo Federated Learning
Van Tuan Tran
Huy Hieu Pham
Kok-Seng Wong
FedML
33
7
0
22 Feb 2023
DPD-fVAE: Synthetic Data Generation Using Federated Variational
  Autoencoders With Differentially-Private Decoder
DPD-fVAE: Synthetic Data Generation Using Federated Variational Autoencoders With Differentially-Private Decoder
Bjarne Pfitzner
B. Arnrich
FedML
27
19
0
21 Nov 2022
One Model to Unite Them All: Personalized Federated Learning of
  Multi-Contrast MRI Synthesis
One Model to Unite Them All: Personalized Federated Learning of Multi-Contrast MRI Synthesis
Onat Dalmaz
Muhammad Usama Mirza
Gokberk Elmas
Muzaffer Özbey
S. Dar
Emir Ceyani
Salman Avestimehr
Tolga cCukur
MedIm
31
39
0
13 Jul 2022
Federated Learning with GAN-based Data Synthesis for Non-IID Clients
Federated Learning with GAN-based Data Synthesis for Non-IID Clients
Zijian Li
Jiawei Shao
Yuyi Mao
Jessie Hui Wang
Jinchao Zhang
FedML
15
39
0
11 Jun 2022
Combating COVID-19 using Generative Adversarial Networks and Artificial
  Intelligence for Medical Images: A Scoping Review
Combating COVID-19 using Generative Adversarial Networks and Artificial Intelligence for Medical Images: A Scoping Review
Hazrat Ali
Zubair Shah
MedIm
10
16
0
15 May 2022
Towards Communication-efficient and Attack-Resistant Federated Edge
  Learning for Industrial Internet of Things
Towards Communication-efficient and Attack-Resistant Federated Edge Learning for Industrial Internet of Things
Yi Liu
Ruihui Zhao
Jiawen Kang
A. Yassine
Dusit Niyato
Jia-Jie Peng
FedML
69
35
0
08 Dec 2020
Generating Multi-label Discrete Patient Records using Generative
  Adversarial Networks
Generating Multi-label Discrete Patient Records using Generative Adversarial Networks
E. Choi
Siddharth Biswal
B. Malin
J. Duke
Walter F. Stewart
Jimeng Sun
SyDa
GAN
156
569
0
19 Mar 2017
1