Abstract: Federated learning (FL) allows multiple clients to collaboratively learn a globally shared model through cycles of model aggregation and local model training, without the need to share data.

This paper investigates the transmission of oil price shocks to the banking sector in oil-dependent economies, using Oman as a case study. We develop a DSGE model featuring an integrated banking block ...