Скачать или смотреть Smartphone Privacy: How to Learn from Distributed, Private Data with Jelani Nelson

In this video, Jelani Nelson of University of California, Berkeley, U.S. explores the challenges of improving smartphone features like auto-complete and spell check while protecting user privacy. These features rely on machine-learning algorithms that need data to improve, but who wants to share all their personal text messages with device manufacturers? Join us as we dive into a surprising paradox discovered about 20 years ago—how it's possible to learn from aggregate user data while ensuring individual privacy is mathematically guaranteed. We’ll also take a look at some of the latest algorithms that make this possible.

This talk took place on Thursday, October 24 at the 2024 SIAM Conference on Mathematics of Data Science.

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#smartphonesecurity #autocomplete #machinelearning #spellcheck #datascience #mathematics #mathematicseducation