3 ms·
Reminds me of a talk I saw by Stephen Boyd from Stanford a few years ago: https://www.youtube.com/watch?v=wqy-og_7SLs https://www.youtube.com/watch?v=wqy-og_7SL
by binalpatel 10y ago
Reminds me of a talk I saw by Stephen Boyd from Stanford a few years ago: https://www.youtube.com/watch?v=wqy-og_7SLs https://www.youtube.com/watch?v=wqy-og_7SLs
(Slides only here: https://www.slideshare.net/0xdata/h2o-world-consensus-optimization-and-machine-learning-stephen-boyd https://www.slideshare.net/0xdata/h2o-world-consensus-optimi...)
At that time I was working at a healthcare startup, and the ramifications of consensus algorithms blew my mind, especially given the constraints of HIPAA. This could be massive within the medical space, being able to train an algorithm with data from everyone, while still preserving privacy.
- gabrielgoh 10y agoI think the distinction here between "handing over your data" and "letting a model train on the data on your device" may be more subtle than you might think. There is still no guarantee of privacy - it is trivial to construct objective functions which probe data from your device.
- pepve 10y agoI just skimmed their secure aggregation paper (linked in the post), and while I'm no expert, I believe they can actually guarantee privacy. At least for the strong version they describe (there's also a weak one which requires trust in the server). Edit, link to the paper: http://eprint.iacr.org/2017/281 http://eprint.iacr.org/2017/281