Applications of Federated Learning; Taxonomy, Challenges, and Research Trends
Applications of Federated Learning; Taxonomy, Challenges, and Research Trends
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Basel: MDPI AG
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Language
English
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Basel: MDPI AG
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Contents
The federated learning technique (FL) supports the collaborative training of machine learning and deep learning models for edge network optimization. Although a complex edge network with heterogeneous devices having different constraints can affect its performance, this leads to a problem in this area. Therefore, some research can be seen to design...
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Full title
Applications of Federated Learning; Taxonomy, Challenges, and Research Trends
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TN_cdi_proquest_journals_2632726298
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2632726298
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ISSN
2079-9292
E-ISSN
2079-9292
DOI
10.3390/electronics11040670
