Federated machine learning with Anonymous Random Hybridization (FeARH) on medical records

Jianfei Cui, He Zhu, Hao Deng +2

Sometimes electrical medical records are restricted and difficult to centralize for machine learning, which could only be trained in distributed manner that involved many instituti…