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When machine learning meets privacy - Episode 7

When machine learning meets privacy - Episode 7

FromMLOps.community


When machine learning meets privacy - Episode 7

FromMLOps.community

ratings:
Length:
36 minutes
Released:
Dec 17, 2020
Format:
Podcast episode

Description

ML and Encryption - It's all about secure insights #7! In this episode, we've invited Théo Ryffel, Founder of Arkhn and founding member of the Open-Mined community. 

// Abstract:
In this episode,  Théo introduces us to the concept of encrypted Machine Learning, when and the best practices to have it applied in the development of Machine Learning based solutions, and the challenges of building a community. 

//Other links to check on Théo:
https://twitter.com/theoryffel
https://arkhn.com
https://openmined.org
https://arxiv.org/pdf/1811.04017.pdf
https://arxiv.org/pdf/1905.10214.pdf

//Final thoughts
Feel free to drop some questions into our slack channel (https://go.mlops.community/slack) 
Watch some of the other podcast episodes and old meetups on the channel: https://www.youtube.com/channel/UCG6qpjVnBTTT8wLGBygANOQ
----------- Connect With Us ✌️-------------    
Join our Slack community:  https://go.mlops.community/slack
Follow us on Twitter:  @mlopscommunity
Sign up for the next meetup: https://go.mlops.community/register

Connect with Fabiana on LinkedIn: https://www.linkedin.com/in/fabiana-clemente/
Connect with Théo on LinkedIn: https://www.linkedin.com/in/theo-ryffel
Released:
Dec 17, 2020
Format:
Podcast episode

Titles in the series (100)

Weekly talks and fireside chats about everything that has to do with the new space emerging around DevOps for Machine Learning aka MLOps aka Machine Learning Operations.