Differential Privacy and Federated Learning with Python
Learn how to snag the most in demand role in the tech field today!
Your Instructor
Alexandra Kropf is Mammoth Interactive's CLO and a software developer with extensive experience in full-stack web development, app development and game development. She has helped produce courses for Mammoth Interactive since 2016, including the Coding Interview series in Java, JavaScript, C++, C#, Python and Swift.
Mammoth Interactive is a leading online course provider in everything from learning to code to becoming a YouTube star. Mammoth Interactive courses have been featured on Harvardās edX, Business Insider and more.
Over 12 years, Mammoth Interactive has built a global student community with 4 million courses sold. Mammoth Interactive has released over 350 courses and 3,500 hours of video content.
Founder and CEO John Bura has been programming since 1997 and teaching
since 2002. John has created top-selling applications for iOS, Xbox and
more. John also runs SaaS company Devonian Apps, building
efficiency-minded software for technology workers like you.
Course Curriculum
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Start00 What Is Differential Privacy (7:18)
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Start01 Differential Privacy Project Introduction (13:16)
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Start02 Build An Initial Database (3:05)
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Start03 Build A Parallel Database (4:04)
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Start04 Build Multiple Parallel Databases (3:09)
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Start05 Determine If Query Leaks Private Data (5:12)
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Start06 Calculate Sensitivity Of Mean Query (6:29)
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Start07 Build Local Differential Privacy (9:09)
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StartSource Files