Virtual Meetup: Privacy-Preserving Machine Learning

Schedule:
6:00 pm EST- Talk: Privacy-Preserving Machine Learning

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Talk: Privacy-Preserving Machine Learning

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

Abstract:
Data privacy is a huge concern and often prevents ML and AI projects from flourishing. In this talk, we will introduce you to federated learning and homomorphic encryption. After we’ve covered the theoretical aspects we will see how they can be used in practice. We conclude with an outlook on the future of these technologies.