- From: Fabian Höring via GitHub <sysbot+gh@w3.org>
- Date: Wed, 17 Jul 2024 09:22:50 +0000
- To: public-patcg@w3.org
fhoering has just created a new issue for https://github.com/patcg/meetings: == Agenda Request - Learning and inference inside a trusted server == ## Agenda+: What do you want to discuss? As a follow up of the presentation on Private Conversion Measurement via Global and Local DP (https://github.com/patcg/meetings/files/14936682/PATCG_Boston_private_learning.pdf) Criteo would like to present our working assumptions for learning and inference inside a trusted server. We will cover TEE based trusted servers and compare with MPC based approaches like the Hybrid Proposal/Firefox's Private Measurement API. Covered topics - assumed trust model - experimental workflow - constraints around differential privacy - engineering constraints ## Time 60 minutes ### Links Links to come Please view or discuss this issue at https://github.com/patcg/meetings/issues/187 using your GitHub account -- Sent via github-notify-ml as configured in https://github.com/w3c/github-notify-ml-config
Received on Wednesday, 17 July 2024 09:22:51 UTC