Federated Learning Discussion

Daniel, Chris, and Daniel delve into the differences between centralized learning and federated learning, highlighting the impact on convergence time and the practical challenges faced when applying cutting-edge techniques to real-world problems. They explore the evolution of machine learning models and the disconnect between research advancements and practical outcomes.