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Cloudera

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Date: 21 November Time: 1pm GMT / 2pm CET

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Add to Calendar 11/21/2018 01:00 PM 11/21/2018 02:00 PM Europe/London [Webinar] Federated Learning: ML with Privacy on the Edge Cloudera Fast Forward Labs’ latest research report and prototype introduce Federated Learning, a way to build intelligent systems without moving data. Federated Learning allows you to learn from privacy-sensitive data and edge devices. https://event.on24.com/wcc/r/1861549/8DE74A14B3667A4A2B91707569618BC6

Cloudera Fast Forward Labs’ latest research report and prototype introduce Federated Learning, a way to build intelligent systems without moving data. Federated Learning allows you to learn from privacy-sensitive data and edge devices. Attendees will:

  • Learn what federated learning is, when it's applicable, how it works, and the current landscape of tools and libraries

  • See a federated learning proof of concept built to solve a predictive maintenance problem

  • Hear from guests in academia and industry about the future of this exciting field

Speakers

Research Engineer, Cloudera Fast Forward Labs

Mike Lee Williams

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Mike Lee Williams is a Research Engineer at Cloudera Fast Forward Labs, where he builds prototypes that bring the latest ideas in machine learning and AI to life and helps Cloudera Fast Forward Labs’ clients understand how to make use of these new technologies. Mike holds a PhD in astrophysics from Oxford.

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