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

26 April 2021

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

8 / 8 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 77 1 0 06 Mar 2025
A Systematic Review of Federated Generative Models Ashkan Vedadi Gargary Emiliano De Cristofaro AI4CE 32 2 0 26 May 2024
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 26 22 0 20 Jul 2023
Personalized Privacy-Preserving Framework for Cross-Silo Federated Learning Van Tuan Tran Huy Hieu Pham Kok-Seng Wong FedML 13 7 0 22 Feb 2023
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 23 39 0 13 Jul 2022
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
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 61 35 0 08 Dec 2020
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 145 562 0 19 Mar 2017