Decentralized Model Training

Daniel and Chris explore the concept of federated learning, discussing the idea of training a centralized model on decentralized data. They highlight the distinction between federated learning and other privacy-preserving machine learning approaches, shedding light on the advantages and challenges of this emerging trend.