Release 1.1
Major Features and Improvements
FederatedML
- Provide a general algorithm framework for homogeneous federated learning, which supports Secure Aggregation
- Add homogeneous Deep Neural Network
- Add heterogeneous Linear Regression
- Add heterogeneous Poisson Regression
- Support multi-host in heterogeneous Logistic Regression
- Support multi-host in heterogeneous Linear Regression
- Support multi-host Intersection
- Accelerated Intersection by usage of cache
- Reconstruct heterogeneous Generalized Linear Models Framework
- Support affine homomorphic encryption in heterogeneous SecureBoost
- Support input data with missing value in heterogeneous SecureBoost
- Support evaluation during training on both train and validate data
- Add spark as computing engine
FATE-Flow
- Upload and Download support CLI for querying job status
- Support for canceling waiting job
- Support for setting job timeout
- Support for storing a job scheduling log in the job log folder
- Add authentication control Beta version, including component, command, role