Privacy in Federated Learning

Daniel and Chris discuss the challenges and successes of implementing federated learning in various industries, including healthcare applications like predicting clinical outcomes for COVID patients while maintaining data privacy. They explore the potential benefits and logistical considerations of federated learning in different sectors.