Figure 1.

High-level block diagram of federated unrolled optimization for accelerated MRI reconstruction. Local data are not shared with the server or between participating clients. After federated training, all clients (seen and unseen at federated training time) receive weights ${\mathsf{\Theta }}_G^R$ and perform fine tuning using only local samples.