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### Open Task RFP for Privacy preserving machine learning inference using MPC
#### Executive Summary
- Project Overview: In this project, we want to see current state of the privacy preserving m…
tkmct updated
1 month ago
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It would be great if we can add a privacy-preserving machine learning section as well.
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Hello, VENumML team!
I came across VENumML, and I’m very impressed by its vision for enabling `Privacy-Preserving Machine Learning (PPML)` with `Fully Homomorphic Encryption (FHE)`. I believe this …
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## Main Objectives/Goals:
To invite developers and researchers to contribute to the development and implementation of Zero-Knowledge Machine Learning (zkML) technologies for secure and privacy-preserv…
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Unconference Federated Learning
# Title
Cases and applications of federated learning
# Description
Centralized Learning (CL) in Machine Learning refers to the traditional approach where all d…
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### Describe the issue linked to the documentation
We would like to add Concrete ML in the documentation. Concrete ML is an open-source package, providing privacy-preserving ML, thanks to so-called…
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Dear Ammar Tahir:
I hope this email finds you well. I came across your implementation of "Practical Secure Aggregation for Privacy-Preserving Machine Learning (Bonawitz et. al)" on GitHub and was q…
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**Is your feature request related to a problem? Please describe.**
The privacy-preserving machine learning framwork in ARX uses k-fold cross-validation to quantify the performance of privacy-preser…
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I am following the steps mentioned here - https://github.com/bhatuzdaname/cryptflow-demo (also mentioned here - https://pratik-bhatu.medium.com/privacy-preserving-machine-learning-for-healthcare-using…
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Branching from the permission model discussion https://github.com/w3c/machine-learning-workshop/issues/72, I feel we should also discuss what are the considerations in design privacy-preserving ML API…