There’s a very interesting (and complex) US-UK challenge program to apply innovative privacy enhancing technologies either to reduce financial fraud or the improve predictions of individual risk during pandemics. One really interesting aspect of the program is the extensive use of synthetic data. The program has just announced its first awards. It’s worth at least reading the short announcement from NSF summarizing the program and the awards at
https://beta.nsf.gov/news/winners-announced-first-phase-us-uk-privacy
More information on the overall program here
https://petsprizechallenges.com
Details on the winning US teams can be found here
https://drivendata.co/blog/federated-learning-pets-prize-winners-phase1
My thanks to the always-amazing Gary Price for noting this program.
Clifford Lynch
Director, CNI
