Privacy-first approach to machine learning
Автор: W3C
Загружено: 2020-09-15
Просмотров: 121
Описание:
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
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