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pro vyhledávání: '"Elvebakken, Morten From"'
Federated Learning offers a way to train deep neural networks in a distributed fashion. While this addresses limitations related to distributed data, it incurs a communication overhead as the model parameters or gradients need to be exchanged regular
Externí odkaz:
http://arxiv.org/abs/2302.02949
Autor:
Hudert, Markus Matthias, Elvebakken, Morten From, Meagher, Mark, Mangliar, Laszlo, Zhang, Xuping, Esterle, Lukas
Publikováno v:
Hudert, M M, Elvebakken, M F, Meagher, M, Mangliar, L, Zhang, X & Esterle, L 2022, Deep learning enhanced robotic fabrication of timber-to-timber connections with densified hardwood nails . in Proceedings of the IASS 2022 Symposium affiliated with APCS 2022 conference : Innovation-Sustainability-Legacy . pp. 1740-1748, IASS 2022 Symposium affiliated with APCS 2022 conference, Beijing, China, 19/09/2022 .
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pure_au_____::3777e35cee2e04400aecfc1bd43d5410
https://pure.au.dk/portal/da/publications/deep-learning-enhanced-robotic-fabrication-of-timbertotimber-connections-with-densified-hardwood-nails(785452cb-883a-4aff-92d0-44e21242284f).html
https://pure.au.dk/portal/da/publications/deep-learning-enhanced-robotic-fabrication-of-timbertotimber-connections-with-densified-hardwood-nails(785452cb-883a-4aff-92d0-44e21242284f).html