A new hierarchical framework has been developed to enhance privacy in the training of cross-institution financial models. This innovative approach integrates differential privacy, homomorphic encryption, and smart contracts to ensure secure data handling across multiple institutions. The framework aims to protect sensitive financial data while allowing institutions to collaboratively train models without compromising privacy.