Accelerating Multi-Party Computation with FPGAs

FALL 2019 RESEARCH INCUBATION AWARDEES

PI: Martin Herbordt, Professor of Electrical and Computer Engineering, ENG
Co-PI: Mayank Varia, Research Associate Professor of Computer Science, CAS
Track: HIC & Red Hat Collaboratory

Datasets can tell a great story and provide critical insights in almost every aspect of society. Unfortunately, guaranteeing privacy can slow this process, and critical insights otherwise unavailable can be gained by sharing data. The team aims to accelerate these secure computations without losing any guarantees of privacy and enabling a platform for future private data set sharing. FPGAs can provide several orders-of-magnitude improvements and the FPGAs are becoming ubiquitous in data centers and can be leveraged to accelerate a diverse set of both internal and 3rd party workloads.