High-Precision Edge-Cloud Collaboration with Federated Learning in Edge Optical Network

被引：0

作者：

Li, Chao ^{[1
]}

Yang, Hui ^{[1
]}

Yao, Quiyan ^{[1
]}

Sun, Zhengjie ^{[1
]}

Zhang, Jie ^{[1
]}

机构：

[1] Beijing Univ Posts & Telecommun, StateKey Lab Informat Photon & Opt Commun, Beijing, Peoples R China

来源：

2021 OPTICAL FIBER COMMUNICATIONS CONFERENCE AND EXPOSITION (OFC) | 2021年

基金：

北京市自然科学基金;

关键词：

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper proposes a high-precision edge-cloud collaborative federated learning (ECFL) scheme based on data matching in Metro Optical Network. ECFL improves the training accuracy of machine learning and reduces the network-blocking rate.

引用

页数：3

共 6 条

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