<story><title>Federated Learning</title><url>https://federated.withgoogle.com/</url></story><parent_chain><item><author>ahelwer</author><text>All right, I&amp;#x27;m cynical as all heck about ad companies and privacy, but this has me optimistic. Somebody disillusion me, why shouldn&amp;#x27;t I be optimistic?</text></item></parent_chain><comment><author>cavisne</author><text>Well the cynical view would be.&lt;p&gt;1) This still lets you have personalized models, just trained on more than 1 user, thats fine at google&amp;#x27;s scale anyway&lt;p&gt;2) Their competitors (FB, AMZN) dont have the edge compute (Android) to do this, and to a lesser degree don&amp;#x27;t have the ML stack (however Android implements this at the API level will be very Tensorflow focused)&lt;p&gt;3) Now google can push for privacy regulations that prevent FB and AMZN from storing your raw data&lt;p&gt;4) Profit&lt;p&gt;That said theres nothing stopping FB doing federated learning within their app on mobile, I just don&amp;#x27;t think they have the privacy background to bother.</text></comment>
<story><title>Federated Learning</title><url>https://federated.withgoogle.com/</url></story><parent_chain><item><author>ahelwer</author><text>All right, I&amp;#x27;m cynical as all heck about ad companies and privacy, but this has me optimistic. Somebody disillusion me, why shouldn&amp;#x27;t I be optimistic?</text></item></parent_chain><comment><author>nixpulvis</author><text>Well the skeptic in me doesn&amp;#x27;t want &lt;i&gt;my&lt;/i&gt; model touched by other peoples models.&lt;p&gt;Of course it depends on the application... For example, I might not want my keyboard autocomplete learning from others, but I might want my self driving car to do it.&lt;p&gt;For applications where we want a common model, I see no other way to do it but this. The idea companies collect massive stockpiles of data forever is infeasible.</text></comment>