Add DEDA_MPC_GenomicML stub quantlet draft#22
Open
shibaeff wants to merge 4 commits intoQuantLet:masterfrom
Open
Add DEDA_MPC_GenomicML stub quantlet draft#22shibaeff wants to merge 4 commits intoQuantLet:masterfrom
shibaeff wants to merge 4 commits intoQuantLet:masterfrom
Conversation
Demonstrates privacy-preserving supervised machine learning over genomic data using Multi-Party Computation (MPC) with additive secret sharing: - mpc_secret_sharing.py: 3-party additive secret sharing + Beaver triple multiply - mpc_logistic_regression.py: secure logistic regression for case-control disease risk - mpc_prs_lasso.py: MPC-enabled Polygenic Risk Score via coordinate LASSO - README.md / Metainfo.txt: quantlet metadata and background
5-section Jupyter notebook covering the elevator pitch: problem framing, MPC secret-sharing primer, secure logistic regression demo, PRS-LASSO demo, and results summary — with inline visualisations throughout.
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
Demonstrates privacy-preserving supervised machine learning over genomic data using Multi-Party Computation (MPC) with additive secret sharing: