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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.
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