Release 0.1

Initial release of FATE.

Major Features

WorkFlow

• Support Intersection workflow
• Support Train workflow
• Support Predict workflow
• Support Validation workflow
• Support Model Load and Save workflow

FederatedML

• Support Distributed Secure Intersection and Raw Intersection for Sample Alignment
• Support Distributed Homogeneous LR and Heterogeneous LR
• Support Distributed SecureBoost
• Support Distributed Secure Federated Transfer Learning
• Support Binary and Multi-Class Evaluation
• Support Model Cross-Validation
• Supprt Mini-Batch
• Support L1, L2 Regularizers
• Support Multi-Party Homogeneous FederatedAggregator
• Support Multi-Party Heterogeneous FederatedAggregator
• Support Partially Homomorphic Encryption MPC Protocol

Architecture

• Initial release of Computing APIs
• Initial release of Storage APIs
• Initial release of Federation APIs
• Initial release of cross-site network communication (i.e. 'Federation')
• Initial release of Standalone runtime, including computing engine and k-v storage
• Initial release of Distributed runtime, including distributed computing engine, distributed k-v storage, metadata management and intra-site/cross-site network communication
• Support cross-site heterogenous infrastructure
• Initial support of modeling and inference

Deploy

• Support standalone (docker & manual) deployment
• Support cluster deployment