A Privacy-Preserving Federated Learning Method with Homomorphic Encryption in Omics Data

Yusaku Negoya, Feifei Cui, Zilong Zhang +3

Omics data is widely employed in medical research to identify disease mechanisms and contains highly sensitive personal information. Federated Learning (FL) with Differential Priva…