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This article deals with the problem of distributed machine learning, in which agents update their models based on their local datasets, and aggregate the updated models collaboratively and in a fully decentralized manner. In this paper, we tackle the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2423::75c4f469c4100f3634762cab9aaa042b
http://urn.fi/urn:nbn:fi-fe2021102151850
http://urn.fi/urn:nbn:fi-fe2021102151850
