Merge branch 'securefederatedai:develop' into fedprox_example

README.md

@@ -1,4 +1,6 @@
-# Open Federated Learning (OpenFL) - An Open-Source Framework For Federated Learning
+<div align="center">
+  <img src="https://github.com/securefederatedai/artwork/blob/main/PNG/OpenFL%20Logo%20-%20color.png?raw=true">
+</div>
 
 [![PyPI - Python Version](https://img.shields.io/badge/python-3.7%20%7C%203.8%20%7C%203.9%20%7C%203.10-blue)](https://pypi.org/project/openfl/)
 [![Ubuntu CI status](https://github.com/intel/openfl/actions/workflows/ubuntu.yml/badge.svg)](https://github.com/intel/openfl/actions/workflows/ubuntu.yml)
@@ -13,7 +15,7 @@
 [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/intel/openfl/blob/develop/openfl-tutorials/interactive_api/numpy_linear_regression/workspace/SingleNotebook.ipynb)
 [![CII Best Practices](https://bestpractices.coreinfrastructure.org/projects/6599/badge)](https://bestpractices.coreinfrastructure.org/projects/6599)
 
-OpenFL is a Python 3 framework for Federated Learning. OpenFL is designed to be a _flexible_, _extensible_ and _easily learnable_ tool for data scientists. OpenFL is hosted by Intel, aims to be community-driven, and welcomes contributions back to the project. 
+OpenFL is a Python 3 framework for Federated Learning. OpenFL is designed to be a _flexible_, _extensible_ and _easily learnable_ tool for data scientists. OpenFL is hosted by The Linux Foundation, aims to be community-driven, and welcomes contributions back to the project. 
 
 ## Installation
 
@@ -45,7 +47,7 @@ Check out the [online documentation](https://openfl.readthedocs.io/en/latest/ind
 
 ## Requirements
 
-- Ubuntu Linux 16.04 or 18.04.
+- Ubuntu Linux 18.04+
 - Python 3.7+ (recommended to use with [Virtualenv](https://virtualenv.pypa.io/en/latest/)).
 
 OpenFL supports training with TensorFlow 2+ or PyTorch 1.3+ which should be installed separately. User can extend the list of supported Deep Learning frameworks if needed.
@@ -64,7 +66,7 @@ OpenFL builds on a collaboration between Intel and the University of Pennsylvani
 The grant for FeTS was awarded to the [Center for Biomedical Image Computing and Analytics (CBICA)](https://www.cbica.upenn.edu/) at UPenn (PI: S. Bakas) from the [Informatics Technology for Cancer Research (ITCR)](https://itcr.cancer.gov/) program of the National Cancer Institute (NCI) of the National Institutes of Health (NIH). 
 
 FeTS is a real-world medical federated learning platform with international collaborators. The original OpenFederatedLearning project and OpenFL are designed to serve as the backend for the FeTS platform, 
-and OpenFL developers and researchers continue to work very closely with UPenn on the FeTS project. An example is the [FeTS-AI/Front-End](https://github.com/FETS-AI/Front-End), which integrates UPenn’s medical AI expertise with Intel’s framework to create a federated learning solution for medical imaging. 
+and OpenFL developers and researchers continue to work very closely with UPenn on the FeTS project. An example is the [FeTS-AI/Front-End](https://github.com/FETS-AI/Front-End), which integrates UPenn’s medical AI expertise with OpenFL framework to create a federated learning solution for medical imaging. 
 
 Although initially developed for use in medical imaging, OpenFL designed to be agnostic to the use-case, the industry, and the machine learning framework.
 
@@ -87,7 +89,7 @@ You can find more details in the following articles:
 
 ## Support
 Please join us for our bi-monthly community meetings starting December 1 & 2, 2022! <br>
-Meet with some of the Intel team members behind OpenFL. <br>
+Meet with some of the OpenFL team members behind OpenFL. <br>
 We will be going over our roadmap, open for Q&A, and welcome idea sharing. <br>
 
 Calendar and links to a Community calls are [here](https://wiki.lfaidata.foundation/pages/viewpage.action?pageId=70648254)