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Precomputed encrypted Cox-lasso consensus-ADMM results

Source: R/data.R
cvxr_consensus.Rd

Result objects from the encrypted stratified Cox-lasso consensus-ADMM demonstration on the DLBCL / DLBCL_gex cohort: a centralized CVXR ground-truth fit, the same fit recovered by consensus ADMM in the clear, and the encrypted threshold-FHE fit, whose standardization, screening, and consensus rounds all run under encryption. The iterated ADMM runs are expensive, so they are computed once and shipped here; the manuscript and the cvxr-cox-lasso-dlbcl vignette load this object instead of recomputing (see Details).

Usage

cvxr_consensus

Format

A named list with components

params

list of the run constants: K (screened probes, 100), LAMBDA (L1 penalty, 5), RHO (ADMM penalty, 50), MAX_ITER (200), TOL (5e-3).

top_idx

integer vector of length K; column indices into DLBCL_gex of the top-K univariate-screened probes.

sigma_K

numeric vector of length K; pooled standard deviations of the screened probes, for the back-transform to the original scale.

agg_beta

numeric vector of length K; centralized CVXR Cox-lasso coefficients (the ground truth), on the standardized scale.

z_ref

numeric vector of length K; consensus-ADMM coefficients computed in the clear (cleartext reference).

z_enc

numeric vector of length K; consensus-ADMM coefficients under threshold FHE.

trajectory

list of numeric vectors of length K; the encrypted consensus iterate \(z^t\) at each ADMM iteration.

n_iter_ref, n_iter_enc

iterations to convergence for the plaintext and encrypted runs.

pool_agree

list mu, sigma: max absolute disagreement between the encrypted and plaintext pooled standardization moments.

screen_match

logical; whether the encrypted screen selected the same probes, in the same order, as the plaintext screen.

Details

The cvxr-cox-lasso-dlbcl vignette is the single source of truth. data-raw/cvxr_consensus.R extracts its code chunks with knitr::purl() into inst/scripts/cvxr-consensus.R, runs that script, and saves the result. The openfhe-jss manuscript reads the labeled chunks of the generated script with knitr::read_chunk(), so the code displayed there is exactly the code that produced these results. Find the installed copy with system.file("scripts", "cvxr-consensus.R", package = "homomorpheR").

See also

DLBCL, DLBCL_gex