Hugging Face has integrated its transformer models with Flower, an open-source framework for federated learning. This allows users to train machine learning models on decentralized data without sharing it. Federated learning enables collaborative model training across multiple devices or organizations while keeping the underlying data private. --- Why it matters: This matters because federated learning can improve model accuracy and reduce privacy concerns in AI development, especially when working with sensitive data from various sources. Source: https://huggingface.co/blog/fl-with-flower