Updated the README.md

README.md

@@ -8,13 +8,12 @@ The rough roadmap for FL CG is as follows:
 * Step 3: Writing down the CG report regarding federated learning
 * Step 4: Developing the draft of W3C spec related with federated learning
 
-## Federated Learning API
- * Current version: [Editor's draft of Federated Learning API](https://w3c.github.io/federated-learning-cg/reports/index.html)
+## Requirements for Federated Learning API
+ * Current version: [Requirements for Federated Learning API](https://w3c.github.io/federated-learning-cg/reports/index.html)
  * Justification for clarification of this work: Why federated learning standard APIs are actually required? Does it enough that each federated learning framework has its own specific API, not a standard API?
- * Version 0.1 : [Federated Learning API 0.1](https://w3c.github.io/federated-learning-cg/reports/index-0.1.html) (09.07)
- * Version 0.4 : [Federated Learning API 0.4](https://w3c.github.io/federated-learning-cg/reports/index-0.4.html) (12.06)
- * Version 0.5 : Enhancing use cases and requirements (12.30)
- * Version 0.6 : Initial API description (xx.xx)
+ * Version 0.1 : [Requirements for Federated Learning API 0.1](https://w3c.github.io/federated-learning-cg/reports/index-0.1.html) (09.07)
+ * Version 0.4 : [Requirements for Federated Learning API 0.4](https://w3c.github.io/federated-learning-cg/reports/index-0.4.html) (12.06)
+ * Version 1.0 : Final report - Requirements for Federated Learning API (12.29)
 
 ## Current implementations for federated learning
 * [TensorFlow Federated(TFF)](https://github.com/tensorflow/federated):