Stefan Mileschin

AI uses federated learning

Intel Labs and the Perelman School of Medicine at the University of Pennsylvania (Penn Medicine) are setting up a federation with 29 international healthcare and research institutions to train artificial intelligence (AI) models that identify brain tumours using a privacy-preserving technique called federated learning.

Intel Labs principal engineer Jason Martin said that AI showed great promise for the early detection of brain tumors, but it will require more data than any single medical center holds to reach its full potential.

"Using Intel software and hardware and support from some of Intel Labs’ brightest minds, we are working with the University of Pennsylvania and a federation of 29 collaborating medical centers to advance the identification of brain tumours while protecting sensitive patient data”, Martin said,

Penn Medicine and 29 healthcare and research institutions from the United States, Canada, the United Kingdom, Germany, the Netherlands, Switzerland and India will use federated learning, which is a distributed machine learning approach that enables organizations to collaborate on deep learning projects without sharing patient data.

Penn Medicine and Intel Labs were the first to publish a paper on federated learning in the medical imaging domain, particularly demonstrating that the federated learning method could train a model to over 99 per cent of the accuracy of a model trained in the traditional, non-private method.

https://fudzilla.com/news/ai/50801-i...-brain-tumours