Privacy-Preserving Decentralized Data Science with Andrew Trask - TWiML Talk #241
Publisher |
Sam Charrington
Media Type |
audio
Categories Via RSS |
Tech News
Technology
Publication Date |
Mar 21, 2019
Episode Duration |
00:33:47
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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