  Motivated by the importance of floating-point computations, we study the
problem of securely and accurately summing many floating-point numbers. Prior
work has focused on security absent accuracy or accuracy absent security,
whereas our approach achieves both of them. Specifically, we show how to
implement floating-point superaccumulators using secure multi-party computation
techniques, so that a number of participants holding secret shares of
floating-point numbers can accurately compute their sum while keeping the
individual values private.
