A Survey of Incentive Mechanism Design for Federated Learning

Federated learning is promising in enabling large-scale machine learning by massive clients without exposing their raw data. It can not only enable the clients to preserve the privacy information, but also achieve high learning performance. Existing works of federated learning mainly focus on improv...

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Vydané v:	IEEE transactions on emerging topics in computing Ročník 10; číslo 2; s. 1035 - 1044
Hlavní autori:	Zhan, Yufeng, Zhang, Jie, Hong, Zicong, Wu, Leijie, Li, Peng, Guo, Song
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.04.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Algorithms Clients Cloud computing Cognitive tasks Collaborative work Completion time Computational modeling Data models Federated learning incentive mechanism Machine learning Model accuracy Servers Smart grid survey Task analysis Taxonomy Training Training evaluation
ISSN:	2168-6750, 2168-6750
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