  We detail distributed algorithms for scalable, secure multiparty linear
regression and feature selection at essentially the same speed as plaintext
regression. While the core geometric ideas are simple, the recognition of their
broad utility when combined is novel. Our scheme opens the door to efficient
and secure genome-wide association studies across multiple biobanks.
