Intel and the University of Pennsylvania Medical School say they have found a solution: Federated Learning. Google invented the concept to train their predictive text models. Intel s G. Anthony Reina and his team were able to train a medical imaging model to identify brain tumors with more than 99 percent the accuracy of a model trained in the traditional method. The model moves around, rather than the data, and the data just lives where it lives on your cell phone, Reina said. The same concept could be applied to healthcare data and allow hospitals and healthcare providers across the globe train collaboratively without needing direct access to the data.
Source: https://threatpost.com/federated-learning-a-ails-digital-health/161633/