Release 0.2

Major Features and Improvements

WorkFlow

• Add Model PipleLine
• Add Hetero Federated Feature Binning workflow
• Add Hetero Federated Feature Selection workflow
• Add hetero dnn workflow
• Add intersection operator before train, predict and cross_validation

FederatedML

• Support svm-light sparse format inputdata
• Support tag sparse format inputdata
• Add Hetero Federated Feature Binning
• Add Hetero Federated Feature Selection
• Add Feature Scaler: MinMaxScaler & StandardScaler
• Add Feature Imputer for missing value filling
• Add Data Statistic for datainstance
• Support encoding and main calculation role configurable for RAW Intesection
• Add Sampler: RandomSampler & StratifiedSampler
• Support regression in SecureBoost
• Support regression evaluation
• Support Decentralized FTL
• Add feature extracting by DNN
• Change Model Format to ProtoBuf
• Add abnormal parameter detection
• Add abnormal input data detection

FATE-Serving(An online inference for federated learning models)

• Dynamic Loading Federated Learning Models.
• Real-time Prediction Using Federated Learning Models.

Model Management

• Versioning
• Reproducibility
• Queries, Search

Task Manager

• Add Load File/ Download File
• Add Import ID from Local File
• Add Start workflow
• Add workflow Job Queue
• Add Query Job Status
• Add Get Runtime conf
• Add Delete Task

EggRoll

• Add Node Manager for multiprocessor to improve distributed computing performance
• Add C++ overwrite storage service
• Add eggroll cleanup API

Deploy

• Add auto-deploy
• Improved deployment documentation

Example

• Add Hetero Federated Feature Binning example
• Add Hetero Federated Feature Selection example
• Add Hetero DNN example
• Add toy example
• Add task manager examples
• Add Serving example

Bug Fixes and Other Changes

• Hetero-LR Minibath bugfixed
• Gradient Average bugfixed
• One-second latency for proxy bugfixed
• Training flowid bugfixed
• Many bugfixes
• Many performance improvements
• Many documentation fixes