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DevConf.US 2020 is the 3rd annual, free, Red Hat sponsored technology conference for community project and professional contributors to Free and Open Source technologies coming to a web browser near you!
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Thursday, September 24 • 12:50 - 13:35
Preserving privacy while sharing data

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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 a degree.

In this talk, Red Hat's Gordon Haff will share with you the active activity taking place in academia, open source communities, and elsewhere into techniques such as differential privacy and secure multi-party computation. The goal of this research and ongoing work is to help individuals and organizations work collaboratively 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 →

Thursday September 24, 2020 12:50 - 13:35 EDT
Dropkick Murphys Virtual