Figure 1: Federated Learning architecture where $K$ hospitals collaborate to learn a joint model. At each round, the clients send their trained parameters to the server (blue arrows). The server then aggregates them and sends the parameters back to the clients (orange arrows). The clients then update the model based on their local dataset.