Joan Feigenbaum
Employers on the program
- 2020Yale University1 talk
Events1
Conferences1
Talks1
Years active2020
Appearances by year
- AWS re:Invent
Talks
| Date | Event | Conference | Role | Title | Links |
|---|---|---|---|---|---|
| Nov 30, 2020 | AWS re:Invent 2020 | AWS re:Invent | breakout | Privacy-preserving machine learning as Grace Murray Hopper Professor of Computer Science, Yale University Privacy-preserving machine learning is a systematic approach to protecting the privacy and intellectual property of data owners, data users, and other parties…Show lessPrivacy-preserving machine learning is a systematic approach to protecting the privacy and intellectual property of data owners, data users, and other parties involved in machine learning activities. This session presents the AWS model for privacy-preserving machine learning and describes two prototypes that AWS has developed. | SlidesVideo |
Frequent co-speakers
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