Is Federated Learning the Answer to Patient Privacy in AI?
Attend this webinar to hear NCI CBIIT’s Dr. Umit Topaloglu and his colleague explore the advantages and challenges of federated learning in cancer research.
During his segment of the presentation, Dr. Topaloglu will address:
- the basics of a federated learning environment where researchers share an artificial intelligence (AI) model while their data remain within their respective cancer centers.
- how NCI is currently supporting a federated learning network that’s fostering intramural and extramural collaboration.
- how federation can meaningfully minimize raw-data movement, but there are other challenges that we must consider.
Register today! And if you’re curious about NCI’s federated learning network activities, or you’d like to know more about the general topic, visit our project page on federated learning.
About the Speaker
Umit Topaloglu, Ph.D.
Dr. Topaloglu is the branch chief of CBIIT’s Clinical and Translational Research Informatics Branch. He leads NCI’s clinical research informatics strategy across precision medicine, clinical trials reporting, and enterprise modernization.