Data-Heterogeneous Hierarchical Federated Learning with Mobility-Reference-Cited by-同舟云学术

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Data-Heterogeneous Hierarchical Federated Learning with Mobility

Published:2023-10-03 Issue: Volume: Page:
ISSN:
Container-title:2023 35th International Teletraffic Congress (ITC-35)
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Author:

Chen Tan¹,Yan Jintao¹,Sun Yuxuan²,Zhou Sheng¹,Gündüz Deniz³,Niu Zhisheng¹

Affiliation:

1. Tsinghua University,Beijing National Research Center for Information Science and Technology,Department of Electronic Engineering,Beijing,China,100084

2. Beijing Jiaotong University,School of Electronic and Information Engineering,Beijing,China,100044

3. Imperial College London,Department of Electrical and Electronic Engineering,London,UK,SW7 2BT

Funder

Fundamental Research Funds for the Central Universities

Beijing Jiaotong University

CHIST-ERA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10555573/10555580/10555630.pdf?arnumber=10555630

Reference18 articles.

1. Federated Learning in Vehicular Networks

2. MEET: Mobility-Enhanced Edge inTelligence for Smart and Green 6G Networks

3. Federated Machine Learning in Vehicular Networks: A summary of Recent Applications

4. Toward Intelligent Vehicular Networks: A Machine Learning Framework

5. Federated Learning in Vehicular Edge Computing: A Selective Model Aggregation Approach

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Mobility-Aware Device Sampling for Statistical Heterogeneity in Hierarchical Federated Learning;2024 IEEE 44th International Conference on Distributed Computing Systems (ICDCS);2024-07-23

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