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Privacy Enhancing Technologies Bootcamp – Call for Participation

June 14 @ 11:00 am - 12:00 pm

 

Learn about various state-of-the-art techniques such as federated learning, differential privacy framework, homomorphic encryption, multi-party computation, etc. Get access to reference implementations (GitHub repositories containing full examples) and build a basic PET prototype with the support of Vector’s technical team.

Expand your Skill Set – Learn More

By signing up to this project, participants will learn how to:
– Make your deep learning models more robust to privacy attacks and leakage
– Train a joint model across multiple sources with established privacy guarantees
– Understand the privacy-vs-accuracy tradeoff and the effects of clipping and noise addition

Tuesday, June 14
11:00 am – 12:00 pm EST

For more details on the program, please contact Diana Moyano, Project Manager at diana.moyano@vectorinstitute.ai

 

This info session is open to Vector Sponsors, Vector Researchers, and invited health partners only. Any registration that is found not to be a Vector Sponsor, Vector Researcher or invited health partner will be asked to provide verification and, if unable to do so, will not be able to attend the event. Please contact events@vectorinstitute.ai with any questions.

Virtual
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