FedDPGAN: Federated Differentially Private Generative Adversarial Networks Framework for the Detection of COVID-19 Pneumonia
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DOI: 10.1007/s10796-021-10144-6
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- Wenhua Liang & Jianhua Yao & Ailan Chen & Qingquan Lv & Mark Zanin & Jun Liu & SookSan Wong & Yimin Li & Jiatao Lu & Hengrui Liang & Guoqiang Chen & Haiyan Guo & Jun Guo & Rong Zhou & Limin Ou & Niyun, 2020. "Early triage of critically ill COVID-19 patients using deep learning," Nature Communications, Nature, vol. 11(1), pages 1-7, December.
- Silvia Chiusano & Tania Cerquitelli & Robert Wrembel & Daniele Quercia, 2021. "Breakthroughs on Cross-Cutting Data Management, Data Analytics, and Applied Data Science," Information Systems Frontiers, Springer, vol. 23(1), pages 1-7, February.
- Kai Klinker & Manuel Wiesche & Helmut Krcmar, 2020.
"Digital Transformation in Health Care: Augmented Reality for Hands-Free Service Innovation,"
Information Systems Frontiers, Springer, vol. 22(6), pages 1419-1431, December.
- Kai Klinker & Manuel Wiesche & Helmut Krcmar, 0. "Digital Transformation in Health Care: Augmented Reality for Hands-Free Service Innovation," Information Systems Frontiers, Springer, vol. 0, pages 1-13.
- Fereshteh Ghahramani & Jingguo Wang, 0. "Impact of Smartphones on Quality of Life: A Health Information Behavior Perspective," Information Systems Frontiers, Springer, vol. 0, pages 1-16.
- Davy Preuveneers & Giuseppe Garofalo & Wouter Joosen, 2021. "Cloud and edge based data analytics for privacy-preserving multi-modal engagement monitoring in the classroom," Information Systems Frontiers, Springer, vol. 23(1), pages 151-164, February.
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- Victor Chang & Carole Goble & Muthu Ramachandran & Lazarus Jegatha Deborah & Reinhold Behringer, 2021. "Editorial on Machine Learning, AI and Big Data Methods and Findings for COVID-19," Information Systems Frontiers, Springer, vol. 23(6), pages 1363-1367, December.
- Gaith Rjoub & Omar Abdel Wahab & Jamal Bentahar & Robin Cohen & Ahmed Saleh Bataineh, 2024. "Trust-Augmented Deep Reinforcement Learning for Federated Learning Client Selection," Information Systems Frontiers, Springer, vol. 26(4), pages 1261-1278, August.
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Keywords
Generative adversarial networks; Federated learning; Differential privacy; COVID-19; Privacy protection;All these keywords.
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