Latest Research From NVIDIA AI and Mass General Brigham Explains The Importance of Federated Learning in Medical AI and Other Industries

Federated learning is a new way to train artificial intelligence models with data from multiple sources while maintaining anonymity. This removes many barriers and opens up the possibility for even more sharing in machine learning research. The latest results published in Nature Medicine show promising new research wherein the federated learning models build powerful AI models that can be generalized among healthcare institutions. These findings are currently for the healthcare industry. It shows that further down the line, it could have a significant role in energy, financial services, and manufacturing applications.