Homomorphic Encryption and Federated Learning based Privacy-Preserving CNN Training: COVID-19 Detection Use-Case

16 April 2022

Papers citing "Homomorphic Encryption and Federated Learning based Privacy-Preserving CNN Training: COVID-19 Detection Use-Case"

5 / 5 papers shown

Title
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 50 23 0 20 Jul 2023
Personalized and privacy-preserving federated heterogeneous medical image analysis with PPPML-HMI Juexiao Zhou Longxi Zhou Di Wang Xiaopeng Xu Haoyang Li Yuetan Chu Wenkai Han Xin Gao 33 20 0 20 Feb 2023
Mitigating Attacks on Artificial Intelligence-based Spectrum Sensing for Cellular Network Signals Ferhat Ozgur Catak Murat Kuzlu S. Sarp Evren Çatak Umit Cali AAML 28 3 0 27 Sep 2022
Secure Multi-Party Computation based Privacy Preserving Data Analysis in Healthcare IoT Systems Kevser Sahinbas Ferhat Ozgur Catak 37 11 0 29 Sep 2021
The Future of Digital Health with Federated Learning Nicola Rieke Jonny Hancox Wenqi Li Fausto Milletari H. Roth ... Ronald M. Summers Andrew Trask Daguang Xu Maximilian Baust M. Jorge Cardoso OOD 174 1,713 0 18 Mar 2020