update federated learning figure

.gitignore

@@ -133,7 +133,6 @@ tests/testing_data/*.tiff
 tests/testing_data/schema.json
 tests/testing_data/endo.mp4
 tests/testing_data/ultrasound.avi
-*.svg
 
 # clang format tool
 .clang-format-bin/

docs/source/modules.md

@@ -268,7 +268,7 @@ A step-by-step [get started](https://github.com/Project-MONAI/tutorials/blob/mas
 
 ## Federated Learning
 
-![federated-learning](../images/federated.png)
+![federated-learning](../images/federated.svg)
 
 Using the MONAI bundle configurations, we can use MONAI's [`MonaiAlgo`](https://docs.monai.io/en/latest/fl.html#monai.fl.client.MonaiAlgo) class (an implementation of the abstract [`ClientAlgo`](https://docs.monai.io/en/latest/fl.html#clientalgo) class for federated learning)
 to execute bundles from the [MONAI model zoo](https://github.com/Project-MONAI/model-zoo).

docs/source/whatsnew_1_0.md

@@ -29,7 +29,7 @@ The solution offers different levels of user experience for beginners and advanc
 It has been tested on large-scale 3D medical imaging datasets in different modalities.
 
 ## Federated Learning Client
-![federated-learning](../images/federated.png)
+![federated-learning](../images/federated.svg)
 
 MONAI now includes the federated learning client algorithm APIs that are exposed as an abstract base class
 for defining an algorithm to be run on any federated learning platform.