Merge pull request FederatedAI#749 from FederatedAI/develop

dylan-fan · web-flow · commit acbcb1cb92bc · 2019-10-31T20:42:06.000+08:00
1.1 release
diff --git a/.sat.toml b/.sat.toml
@@ -0,0 +1 @@
+lang="python"
diff --git a/README.md b/README.md
@@ -1,8 +1,9 @@
+[![License](https://img.shields.io/badge/License-Apache%202.0-blue.svg)](https://opensource.org/licenses/Apache-2.0) [![CodeStyle](https://img.shields.io/badge/Check%20Style-Google-brightgreen)](https://checkstyle.sourceforge.io/google_style.html) [![Pinpoint Satellite](https://img.shields.io/endpoint?url=https%3A%2F%2Fscan.sbrella.com%2Fadmin%2Fapi%2Fv1%2Fpinpoint%2Fshield%2FFederatedAI%2FFATE)](https://github.com/mmyjona/FATE-Serving/pulls) [![Style](https://img.shields.io/badge/Check%20Style-Black-black)](https://checkstyle.sourceforge.io/google_style.html) 
+
 <div align="center">
   <img src="./doc/images/FATE_logo.png">
 </div>
 
-[![License](https://img.shields.io/badge/License-Apache%202.0-blue.svg)](https://opensource.org/licenses/Apache-2.0)
 
 FATE (Federated AI Technology Enabler) is an open-source project initiated by Webank's AI Department to provide a secure computing framework to support the federated AI ecosystem. It implements secure computation protocols based on homomorphic encryption and multi-party computation (MPC). It supports federated learning architectures and secure computation of various machine learning algorithms, including logistic regression, tree-based algorithms, deep learning and transfer learning.
 
