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pro vyhledávání: '"Mahmoud Assran"'
Autor:
Mahmoud Assran, Michael G. Rabbat
Publikováno v:
IEEE Transactions on Automatic Control. 66:168-183
We consider a multi-agent framework for distributed optimization where each agent has access to a local smooth strongly convex function, and the collective goal is to achieve consensus on the parameters that minimize the sum of the agents' local func
Autor:
Mahmoud Assran, Mathilde Caron, Ishan Misra, Piotr Bojanowski, Florian Bordes, Pascal Vincent, Armand Joulin, Mike Rabbat, Nicolas Ballas
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031198205
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::91a95c259dce8b16fbf885c8b52b340e
https://doi.org/10.1007/978-3-031-19821-2_26
https://doi.org/10.1007/978-3-031-19821-2_26
Motivated by large-scale optimization problems arising in the context of machine learning, there have been several advances in the study of asynchronous parallel and distributed optimization methods during the past decade. Asynchronous methods do not
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::03e6b08f1a10505bdbe32ecaf3fed18f