Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Sindri Magnússon"'
Publikováno v:
IEEE Transactions on Signal Processing. 71:189-201
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e06ccb367ee44b6b4e3a8de40f6090c2
https://doi.org/10.1109/tsp.2023.3237392
https://doi.org/10.1109/tsp.2023.3237392
Publikováno v:
IEEE Transactions on Automatic Control. :1-16
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::42f821594b70c7314e41e241e1759128
https://doi.org/10.1109/tac.2023.3279901
https://doi.org/10.1109/tac.2023.3279901
Autor:
Zahra Kharazian, Mahmoud Rahat, Fábio Gama, Peyman Sheikholharam Mashhadi, Sławomir Nowaczyk, Tony Lindgren, Sindri Magnússon
Publikováno v:
Advances in Intelligent Data Analysis XXI ISBN: 9783031300462
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a818e577b4c7c4fd7adba5ab4deb7156
https://doi.org/10.1007/978-3-031-30047-9_16
https://doi.org/10.1007/978-3-031-30047-9_16
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 35:8101-8109
With the increasing scale of machine learning tasks, it has become essential to reduce the communication between computing nodes. Early work on gradient compression focused on the bottleneck between CPUs and GPUs, but communication-efficiency is now
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2ebb4e572104b446a5a745044e865ddf
https://doi.org/10.1609/aaai.v35i9.16987
https://doi.org/10.1609/aaai.v35i9.16987
Publikováno v:
Discovery Science ISBN: 9783031188398
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4ff4e3ea343bc3c16f3ccb07694a32fe
https://doi.org/10.1007/978-3-031-18840-4_9
https://doi.org/10.1007/978-3-031-18840-4_9
Publikováno v:
International Journal of Human-Computer Studies. 170:102966
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5206d1d6cc878c6fbd61483c6fa84100
https://doi.org/10.1016/j.ijhcs.2022.102966
https://doi.org/10.1016/j.ijhcs.2022.102966