PPEFL: An Edge Federated Learning Architecture with Privacy-Preserving Mechanism

The emergence of federal learning makes up for some shortcomings of machine learning, and its distributed machine learning paradigm can effectively solve the problem of data islands, allowing users to collaboratively model without sharing data. Clients only need to train locally and upload model par...

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Vydané v:	Wireless communications and mobile computing Ročník 2022; číslo 1
Hlavní autori:	Liu, Zhenpeng, Gao, Zilin, Wang, Jingyi, Liu, Qiannan, Wei, Jianhang
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Oxford Hindawi 2022 John Wiley & Sons, Inc
Predmet:	Accuracy Algorithms Cloud computing Communication Consumption Data compression Data transmission Edge computing Efficiency Electronic devices Federated learning Machine learning Mathematical models Mobile computing Model accuracy Network latency Parameters Privacy Servers
ISSN:	1530-8669, 1530-8677
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