- From: Joel Pfeiffer via GitHub <sysbot+gh@w3.org>
- Date: Thu, 23 Jun 2022 02:57:23 +0000
- To: public-patcg@w3.org
> * Full fledged ML training / optimization (e.g. agg service runs a DNN) I think breaking this down a bit might be nice. E.g., * Simple optimizations like computing averages seem in most proposals. * SGD for small, dense networks. Privacy here is much easier as you can clip the norms and add noise in each dimension. * SGD for large sparse models, which the sparsity makes challenging * Decision trees (no proposals yet, to date, and likely would need a TEE or something to do) -- GitHub Notification of comment by jpfeiffe Please view or discuss this issue at https://github.com/patcg/meetings/issues/56#issuecomment-1163867940 using your GitHub account -- Sent via github-notify-ml as configured in https://github.com/w3c/github-notify-ml-config
Received on Thursday, 23 June 2022 02:57:24 UTC