Privacy-Preserving Federated Analytics for Personalized Medicine

This lecture explores the challenges of sharing sensitive health data for research purposes and introduces a federated approach with multiparty homomorphic encryption to protect privacy. The instructor discusses the vulnerabilities of traditional data sharing methods, the benefits of the federated approach, and the implementation of MedCo, an open-source system for secure data sharing in healthcare. The lecture also covers legal compliance, data anonymization, and real-world applications in personalized medicine.