Private Analytics and Machine Learning on Distributed Data

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Private Analytics and Machine Learning on Distributed Data

April 19 @ 7:00 pm - 8:00 pm EDT

*At the same time that data teams are looking for more sources of data to power their machine learning and analytics, privacy concerns are making it harder for data to move. Privacy-enhancing technologies like federated learning and differential privacy are opening up new opportunities to do analytics and machine learning on distributed data.*

*Please join Farhad Haji Hosseini Khani, Data Scientist at [integrate.ai](http://integrate.ai/), for a hands-on session as he introduces privacy-enhancing technologies and demonstrates methods for data exploration, analytics, and model training on distributed data.*