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Decentralized Robot Learning for Personalization and Privacy. (arXiv:2201.05527v1 [cs.LG])
Jan. 17, 2022, 2:10 a.m. | Luke Guerdan, Hatice Gunes
cs.LG updates on arXiv.org arxiv.org
From learning assistance to companionship, social robots promise to enhance
many aspects of daily life. However, social robots have not seen widespread
adoption, in part because (1) they do not adapt their behavior to new users,
and (2) they do not provide sufficient privacy protections. Centralized
learning, whereby robots develop skills by gathering data on a server,
contributes to these limitations by preventing online learning of new
experiences and requiring storage of privacy-sensitive data. In this work, we
propose a …
More from arxiv.org / cs.LG updates on arXiv.org
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