arXiv (All)
open access
Privacy-Aware Sequential Learning
applicationscryptography-and-securityg-3k-4-1probabilitysocial-and-information-networkstheoretical-economics
Sequential learning often relies on individuals reporting private information, with early reports shaping later beliefs and collective decisions. When such reports are sensitive, privacy protection creates a fundamental trade-off in the design of sequential feedback systems. We study this trade-off
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