A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection

As data privacy increasingly becomes a critical societal concern, federated learning has been a hot research topic in enabling the collaborative training of machine learning models among different organizations under the privacy restrictions. As researchers try to support more machine learning model...

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Vydáno v:	IEEE transactions on knowledge and data engineering Ročník 35; číslo 4; s. 3347 - 3366
Hlavní autoři:	Li, Qinbin, Wen, Zeyi, Wu, Zhaomin, Hu, Sixu, Wang, Naibo, Li, Yuan, Liu, Xu, He, Bingsheng
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York IEEE 01.04.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Algorithms Case studies Classification Collaborative work Computational modeling data mining Data models Data privacy Deep learning Design factors Federated learning Machine learning Privacy Servers survey
ISSN:	1041-4347, 1558-2191
On-line přístup:	Získat plný text
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