Deep Federated Learning Based Convergence Analysis in Relaying-Aided MEC-IoT Networks | Zendy

Jun Liu | Zendy; Tao Cui | Zendy; Lin Zhang | Zendy; Yuwei Zhang | Zendy; Jing Wang | Zendy; Chao Li | Zendy; Kai Chen | Zendy; Huang Huang | Zendy; Xuan Zhou | Zendy; Wei Zhou | Zendy; Li Sun | Zendy; Suili Feng | Zendy; Dongqing Xie | Zendy; Yun Li | Zendy; Haige Xiang | Zendy; Kaimeno Dube | Zendy; Abbarbas Muazu | Zendy; Nakilavai Rono | Zendy; Wen Zhou | Zendy; Fusheng Zhu | Zendy; Liming Chen | Zendy; Dan Deng | Zendy; Zhao Wang | Zendy; Yajuan Tang | Zendy

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Deep Federated Learning Based Convergence Analysis in Relaying-Aided MEC-IoT Networks

Author(s) -

Jun Liu,

Tao Cui,

Lin Zhang,

Yuwei Zhang,

Jing Wang,

Chao Li,

Kai Chen,

Huang Huang,

Xuan Zhou,

Wei Zhou,

Li Sun,

Suili Feng,

Dongqing Xie,

Yun Li,

Haige Xiang,

Kaimeno Dube,

Abbarbas Muazu,

Nakilavai Rono,

Wen Zhou,

Fusheng Zhu,

Liming Chen,

Dan Deng,

Zhao Wang,

Yajuan Tang

Publication year - 2022

Publication title -

journal of engineering

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.244

H-Index - 20

eISSN - 2314-4912

pISSN - 2314-4904

DOI - 10.1155/2022/8425975

Subject(s) - computer science , bit error rate , wireless , internet of things , convergence (economics) , rate of convergence , transmission (telecommunications) , deep learning , wireless network , computer network , computer engineering , channel (broadcasting) , telecommunications , artificial intelligence , computer security , economics , economic growth

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