Decentralized Exposure Alert Protocols for Protecting Communities from COVID-19
Offered By: Toronto Machine Learning Series (TMLS) via YouTube
Course Description
Overview
Explore a 38-minute conference talk from the Toronto Machine Learning Series (TMLS) on decentralized exposure alert protocols for COVID-19 prevention. Delve into the development of the Temporary Contact Number (TCN) protocol, a collaborative effort between Stanford and Waterloo researchers. Examine various app-based proximity assessment methods, analyzing their privacy implications and trade-offs. Compare the privacy models of Bluetooth-enabled decentralized exposure alert apps with centralized digital contact tracing systems. Gain insights into innovative technological approaches for community protection during the pandemic.
Syllabus
Tina White - Decentralized exposure alert protocols for protecting communities from COVID-19
Taught by
Toronto Machine Learning Series (TMLS)
Related Courses
NeuroethicsUniversity of Pennsylvania via Coursera Fundamentals of Online Education: Planning and Application
Georgia Institute of Technology via Coursera Understanding Media by Understanding Google
Northwestern University via Coursera Wiretaps to Big Data: Privacy and Surveillance in the Age of Interconnection
Cornell University via edX Internet, les autres et moi
Certificat informatique et internet via France Université Numerique