- From: Matthew Wilson <matt.wilson@nextroll.com>
- Date: Tue, 8 Dec 2020 15:22:07 -0600
- To: public-web-adv@w3.org
Received on Thursday, 10 December 2020 09:06:06 UTC
Hello everyone, I would like to share a proposal for how machine learning optimization might be done in a privacy preserving way. The proposal is called COWBIRD <https://github.com/AdRoll/privacy/blob/main/COWBIRD.md>, which stands for Coordinated Optimization Without Big Resource Demands. It builds on SPURFOWL <https://github.com/AdRoll/privacy/blob/main/SPURFOWL.md>, which we discussed today, and is inspired by MURRE <https://github.com/AdRoll/privacy/blob/main/MURRE.md>, which we discussed a few weeks ago. At a high level, the idea is for the browser to act as a federated learning platform, allowing ad-tech companies to optimize toward customizable objectives with customizable models and features. Thanks, Matt Wilson -- Matthew Wilson Staff Data Science Engineer matt.wilson@nextroll.com
Received on Thursday, 10 December 2020 09:06:06 UTC