Data Council EU virtual meetup: Privacy-Preserving ML

Global AI & Data Science

Train, tune and distribute models with generative AI and machine learning capabilities

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Enjoy two talks, including:

Speaker: Romeo Kienzler, Chief Data Scientist at IBM Center for Open Source Data and AI Technologies (CODAIT)

Abstract:
"Data privacy is a huge concern and often prevents ML and AI project from flourishing. In this talk we’ll introduce you to federated learning and homomorphic encryption. After we’ve covered the theoretical aspects we’ll see how they can be used in practice. We conclude with an outlook on the future of these technologies."
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More information
When:  Dec 15, 2020 from 06:00 PM to 07:15 PM (CET)

Where

Contact

Isaiah Brown

Isaiah.Brown@ibm.com