November 2-4 | Napa, California
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Wednesday, November 3 • 3:00pm - 3:30pm
Using Data without Giving Up Privacy: Research Directions - Gordon Haff, Red Hat

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Deep learning and machine learning more broadly depend on large quantities of data to develop accurate predictive models. In areas such as medical research, sharing data among institutions can lead to even greater value. However, data often includes personally identifiable information that we may not want to (or even be legally allowed to) share with others. Traditional anonymization techniques only help to some degree. In this talk, Red Hat's Gordon Haff will share with you the active research activity taking place in academia and elsewhere into techniques such as differential privacy and multi-party computation. The goal of this research is to enable broad information sharing leading to better models while preserving the anonymity of individual data points.

avatar for Gordon Haff

Gordon Haff

Technology Advocate, Red Hat
Gordon Haff is Technology Advocate at Red Hat where he works on market insights; writes about tech, trends, and their business impact; and is a frequent speaker at customer and industry events. Among the topics he works on are edge, AI, quantum, cloud-native platforms, and next-generation... Read More →

Wednesday November 3, 2021 3:00pm - 3:30pm PDT
Silverado West
  • Slides Included Yes