Privacy-Preserving Decentralized Data Science with Andrew Trask - TWiML Talk #241
Podcast: The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)Published On: Thu Mar 21 2019
Description: Today we’re joined by Andrew Trask, PhD student at the University of Oxford and Leader of the OpenMined Project, an open-source community focused on researching, developing, and promoting tools for secure, privacy-preserving, value-aligned artificial intelligence. We dig into why OpenMined is important, exploring some of the basic research and technologies supporting Private, Decentralized Data Science, including ideas such as Differential Privacy,and Secure Multi-Party Computation.
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