Privacy-first approach to machine learning

Privacy-first approach to machine learning

by Philip Laszkowicz The presentation will discuss how developers should be building modern web apps and what is missing in the existing ecosystem to make privacy-first ML possible including the challenges with WASI, modular web architecture, and localized analytics. 00:20 Why is Privacy Important? 00:56 Inclusivity 02:16 State of Mobile 03:20 Privacy and Inclusivity 04:38 Privacy and UX 05:46 Privacy and Machine Learning 07:14 Legacy ML Architecture 08:00 Modern ML Architecture 09:17 Web vs Native Privacy