Federated learning in medical education in Industry 5.0

The integration of Federated Learning (FL) into medical education within the context of Industry 5.0 offers transformative potential for addressing key challenges such as data privacy, scalability, and personalization. Medical education, a cornerstone of healthcare development, is undergoing significant evolution driven by technological advancements. Industry 5.0 emphasizes human-centric and collaborative solutions, making it a natural fit for the integration of FL, which allows the decentralized training of machine learning models without compromising sensitive medical data. This chapter explores the interplay between FL and Industry 5.0 in medical education, detailing how technologies like Digital Twins, Blockchain, and Augmented Reality can foster personalized, secure, and efficient learning environments. Additionally, it highlights applications such as personalized simulators, collaborative case studies, and real-time curriculum updates, offering a framework for training competent healthcare professionals in a privacy-preserving, collaborative, and adaptive environment. Challenges and future directions are discussed to guide the adoption of FL in medical education for the Industry 5.0 era.