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Factor-Assisted Federated Learning for Personalized Optimization with Heterogeneous Data
To address this issue, we develop a novel personalized federated learning framework for heterogeneous data, which we refer to as FedSplit.
Right, No Matter Why: AI Fact-checking and AI Authority in Health-related Inquiry Settings
Previous research on expert advice-taking shows that humans exhibit two contradictory behaviors: on the one hand, people tend to overvalue their own opinions undervaluing the expert opinion, and on the other, people often defer to other people's advice even if the advice itself is rather obviously wrong.
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