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
[WIP] Add Federated Learning and Differential Privacy demos #1566
Conversation
This is the WIP PR - so far I've taken the code from the Boston Housing Dataset Federated learning and Differential Privacy demos and put them into a single IPython Notebook. There is still some code that needs to be combined in the train method. |
SUPER excited to see this coming together!!! |
I think there may be a bug in However, when I send the parameters of the model individually using There is a key error in |
Hey @mukul-rathi - try master now. i think there might have been a bug in model.send() for a minute. |
0e1e44e
to
74711fd
Compare
74711fd
to
7489eea
Compare
@iamtrask thanks a lot! The notebook works now - can you look over it? |
Excellent work! Merging your first notebook now! (we can merged the second later) :) |
Description
Adding demos combining Differential Privacy and Federated Learning
Fixes #1556
Type of change
How Has This Been Tested?
Not yet (WIP)
Test Configuration:
Checklist: