FATE is a Linux Foundation-hosted framework that implements federated learning workflows for enterprises, allowing multiple parties to jointly train ML models without sharing raw data. It provides secure computation protocols based on homomorphic encryption and multi-party computation. The framework includes standard ML algorithms such as logistic regression, tree-based models, deep learning, and transfer learning, deployed across various federated learning scenarios.