Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

TEE based model training service #49

Open
pstorm opened this issue Mar 7, 2024 · 2 comments
Open

TEE based model training service #49

pstorm opened this issue Mar 7, 2024 · 2 comments
Assignees

Comments

@pstorm
Copy link

pstorm commented Mar 7, 2024

Will there be TEE based training service for training ML model over private features & non private features? It logically looks like an aggregation service that acts on reports to generate a summary report. However, for a TEE training service, it operates on both user features and non-private features, to generate a model (summary).

B&A Inference explainer pointed out various details about TEE inference service periodically pulling models from currently supported cloud providers (AWS & GCP), providing inference over the input request (composed of private features) coming from the same machine, for larger models.

@chatterjee-priyanka
Copy link
Collaborator

Thanks for the question.

yarongmu-google is the lead in Privacy Sandbox, who may be able to help. Thanks.

@yarongmu-google
Copy link
Collaborator

Thanks for the question. Yes, TEE based training services is something we are interested in exploring. Used with Differential Privacy, TEE based training has the potential to bring real value here. There are multiple algorithm candidates in this space, for different problem settings.

pstorm, do you mind elaborate your problem setting a little bit more?

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

3 participants