4 ms·
Well the cynical view would be. 1) This still lets you have personalized models, just trained on more than 1 user, thats fine at google's scale anyway 2) Thei
by cavisne 7y ago
Well the cynical view would be.
1) This still lets you have personalized models, just trained on more than 1 user, thats fine at google's scale anyway
2) Their competitors (FB, AMZN) dont have the edge compute (Android) to do this, and to a lesser degree don't have the ML stack (however Android implements this at the API level will be very Tensorflow focused)
3) Now google can push for privacy regulations that prevent FB and AMZN from storing your raw data
4) Profit
That said theres nothing stopping FB doing federated learning within their app on mobile, I just don't think they have the privacy background to bother.
- gbrown 7y agoIf #3 happens I'd be shocked (and pleased).
- pm90 7y agoThey would be absolutely compelled to by market forces. The entire ad-tech industry would be wiped out if something like this becomes more common. You would need an army of highly trained machine learning engineers to build complex systems that would work great but still be efficient. Guess who is the only company which has that army? The cynic in me sees this as a great play by the Googz to cut the Amazon-adtech venture in the bud, and to establish and maintain dominance over the adtech business, and advertising in general.
- defen 7y ago> Their competitors (FB, AMZN) dont have the edge compute (Android) to do this It's not Android scale but Amazon has sold 100 million Alexas.
- hatsunearu 7y agoDoubt Alexas have enough juice to do on device training...