Secure and Accurate Summation of Many Floating-Point Numbers
Marina Blanton, Michael T. Goodrich, Chen Yuan · Proceedings on Privacy Enhancing Technologies · 2023
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.