Duality Wins the iDash Competition for Fastest Computations on Genomic Data
Blog post from Duality
Duality Technologies achieved remarkable success at the iDash competition, an annual international event hosted by UCSD, focused on advancing homomorphic encryption solutions for genomic computation challenges. Supported by the NIH and Illumina and running for six years, the competition's Track 2 required participants to create HE implementations for Genome Wide Association Studies with specific security standards. Duality, in collaboration with Prof. Alexander Gusev from DFCI and Harvard School of Medicine, emerged as one of the two winners, with one of their solutions significantly outperforming all competitors, including commercial entities like IBM and Inpher.io, in terms of speed and memory efficiency. Their pioneering solution, which ran in just 0.09 minutes using 1.5GB of memory, leveraged a proprietary fork of the open-source PALISADE lattice encryption library, funded by organizations such as DARPA, IARPA, the NSA, and the Sloan Foundation. This achievement marks a significant advancement in privacy-protected collaborations on genomic data.
No tracked trend matches for this post yet.
Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.