Daniel and Tanner recognized the need for federated learning due to data challenges in industry projects. They developed the Flower framework to address the lack of suitable solutions and enable collaborative approaches without sharing underlying training data. Their focus on building scalable infrastructure highlights the importance of making federated analytics accessible for practical use.
