Applying Federated Learning for ML at the Edge
AWS FeedApplying Federated Learning for ML at the Edge Federated Learning (FL) is an emerging approach to machine learning (ML) where model training data is not stored in a central location. During ML training, we typically need to access the entire training dataset on a single machine. For purposes of performance scaling, we divide the…