Minor fixes for readme
@@ -51,8 +51,8 @@ There are a number of ways to contribute depending on what you're interested in:
* If you are interested in developing new federated learning algorithms, the
best way to start would be to study the implementations of federated
averaging and evaluation in `tff.learning`, and to think of extensions to
- the existing imlementation (or alternative approaches). If you have a
- proposal for a new algorithm, we recommend to start by staging your project
+ the existing implementation (or alternative approaches). If you have a
+ proposal for a new algorithm, we recommend starting by staging your project
in the `research` directory and including a colab notebook to showcase the
new features.
