Patrick Foley

Patrick Foley, Lead AI architect at Intel and a key player in OpenFL’s development, delves into the transformative potential of federated learning. He highlights how this approach ensures data privacy by training models where the data resides, particularly in sensitive areas like healthcare. The discussion covers real-world applications like brain tumor segmentation, the challenges of trust and verification, and the role of frameworks in enhancing collaboration. Foley also hints at the future of federated learning in breaking down data silos while maintaining security.