Federated learning framework for mobile devices
In this demo by Qualcomm AI Research, we showcase a federated learning framework that runs on mobile devices. It is a scalable and customizable software library that extends TensorFlow- and PyTorch-based training workflows seamlessly to Android, which is unlike existing federated learning libraries available for research. Our demo showcases the use of our federated learning framework with 5000 worker nodes to train a voice user verification model on commercial mobile devices that can discriminate the target user from an impostor. Stayed tuned for more advances in federated learning to train models at scale while preserving privacy.
Learn more at: https://www.qualcomm.com/research/art...