Overview of our secure framework for regularized logistic regression.

<p>Each institution (possessing private data) locally computes summary statistics from its own data, and submits encrypted aggregates following a strong cryptographic scheme [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0156479#pone.0156479.ref030" target="_blank">30</a>]. The Computation Centers securely aggregate the encryptions and conduct model estimation, from which the model adjustment feedback will be sent back as necessary. This iterative process continues until model convergence.