Duration: 35:14

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Episode 87, August 28, 2019 |
As computing moves to the cloud, there is an increasing need for privacy in AI. In an ideal world, users would have the ability to compute on encrypted data without sacrificing performance. Enter Dr. Olli Saarikivi, a post-doctoral researcher in the RiSE group at MSR. He, along with a stellar group of cross-disciplinary colleagues, are bridging the gap with CHET, a compiler and runtime for homomorphic evaluation of tensor programs, that keeps data private while making the complexities of homomorphic encryption schemes opaque to users.

On today’s podcast, Dr. Saarikivi tells us all about CHET, gives us an overview of some of his other projects, including Parasail, a novel approach to parallelizing seemingly sequential applications, and tells us how a series of unconventional educational experiences shaped his view of himself, and his career as a researcher.

See more at https://www.microsoft.com/en-us/research/blog/category/podcast/