Privacy-Sensitive Collaborations through Assisted Learning
Abstract: In several emerging AI tasks, collaborations among different organizations or agents (e.g., human and robots, mobile units, and smart devices) are often essential to resolving challenging problems that are otherwise impossible to be dealt with by a single agent. However, to avoid leaking useful and possibly proprietary information, agents typically enforce stringent security measures, which significantly limits such kinds of collaboration. This talk will introduce a new research direction in machine learning to enable agents to assist each other in a decentralized, personalized, and private manner.
Xiwei Tang is inviting you to a scheduled Zoom meeting.
Topic: Statistics Colloquium Spring 2021
Time: This is a recurring meeting Meet anytime
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Meeting ID: 913 7582 2348