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

5 citations · 5 across the 1 of their papers we have counts for

collaborators

1 paper

cs.CR2022★ 5 cited

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

Febrianti Wibawa, Ferhat Ozgur Catak, Salih Sarp +2

Medical data is often highly sensitive in terms of data privacy and security concerns. Federated learning, one type of machine learning techniques, has been started to use for the…