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pro vyhledávání: '"Xinkui Wu"'
Publikováno v:
Digital Communications and Networks, Vol 8, Iss 4, Pp 446-454 (2022)
Federated Learning (FL) is a new computing paradigm in privacy-preserving Machine Learning (ML), where the ML model is trained in a decentralized manner by the clients, preventing the server from directly accessing privacy-sensitive data from the cli
Externí odkaz:
https://doaj.org/article/567c987e3b064a259a7e6fc5cfaa378b
Publikováno v:
Digital Communications and Networks. 8:446-454