FLPP: A Federated-Learning-Based Scheme for Privacy Protection in Mobile Edge Computing

Data sharing and analyzing among different devices in mobile edge computing is valuable for social innovation and development. The limitation to the achievement of this goal is the data privacy risk. Therefore, existing studies mainly focus on enhancing the data privacy-protection capability. On the...

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Autori principali:	Zhimo Cheng, Xinsheng Ji, Wei You, Yi Bai, Yunjie Chen, Xiaogang Qin
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	MDPI AG 2023-11-01
Serie:	Entropy
Soggetti:	mobile edge computing privacy protection federated learning differential privacy differential evolutionary
Accesso online:	https://www.mdpi.com/1099-4300/25/11/1551
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