Fig. 1: Conceptual architecture of UCADI.
From: Advancing COVID-19 diagnosis with privacy-preserving collaboration in artificial intelligence
The participants first download and train the three-dimensional CNN models on the basis of the data of local cohorts. The trained model parameters are then encrypted and transmitted back to the server. Finally, the server produces the federated model via aggregating the contributions from each participant without explicit access to the parameters.
