DC_THURS on Federated Learning w/ Nathalie Baracaldo (IBM)

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When:  Apr 1, 2021 from 09:30 AM to 10:30 AM (PT)
Online interview and live Q/A with Nathalie Baracaldo, Research Staff Member at IBM

About this Event

Nathalie Baracaldo leads the AI Security and Privacy Solutions team and is a Research Staff Member at IBM’s Almaden Research Center in San Jose, CA. Nathalie is passionate about delivering machine learning solutions that are highly accurate, withstand adversarial attacks and protect data privacy. Her team focuses on two main areas: federated learning, where models are trained without directly accessing training data and adversarial machine learning, where defenses are designed to withstand potential attacks to the machine learning pipeline.

Register now to join us online on April 1 at 9:30am PT / 12:30pm ET / 5:30pm UK


About Data Council

Data Council connects software engineers around common challenges using open source data technologies. Our content, training programs and events are designed to give engineers the knowledge and insights to build scalable systems to handle ever-increasing amounts of data.

Special thanks to our sponsor: IBM is a supporter of the open source software (OSS) community, and invites you to check out their Data Science Community with online resources, content and support for data professionals.


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