Optimal Resource Allocation under MPC

As part of our work on the DARPA Brandeis program, Stealth built backend software for a privacy-preserving, interactive resource-allocation system, with an envisioned use case of facilitating resource aid between providers and recipients.  The system was designed to enable arbitrarily many parties to solve an optimization problem of matching aid providers – each with their own resource availabilities and capabilities – to aid recipients – each with their own needs and requirements, all while keeping private the type and quantity of aid requested and the capabilities of aid providers.  We demonstrated a viable prototype  of this backend solution, implementing an optimization algorithm computed by multiple participants under MPC.

This work was supported by DARPA and NIWC Pacific under Contract No. N66001-15-C-4065, Distribution Statement A: “Approved for Public Release, Distribution Unlimited. If you have any questions, please contact the Public Release Center”. The views, opinions and/or findings expressed are those of the author and should not be interpreted as representing the official views or policies of the Department of Defense or the U.S. Government.

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