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This month, Jakob Oderksy will teach us about secure multi-party computation. His home company, Inpher, will host us & provide refreshments at their new HQ in Flatiron District. As usual, doors open at 6:30 pm, & we'll start the talk at 7pm.
# Talk Description
Move over data analytics, secure machine learning is here. As privacy
becomes an increasingly important concern, so does the need to analyze
data securely. Secure multi-party computation (MPC) is a promising
solution that helps different entities collaborate in training ML
models, while also keeping their data private.
For applications to truly scale, we need to implement models in a
high-level language, abstracting away the low-level MPC details: we
need a compiler! In this talk we describe the unique aspects of
writing a compiler so that developers & data scientists need not be
crypto experts.
# About Jakob
Jakob is a Software Engineer at Inpher. His introduction to Scala was in its 1.x days, & he has been using it ever since.
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