Federated Learning in Vehicular Networks-Reference-Cited by-同舟云学术

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Federated Learning in Vehicular Networks

Published:2022-09-05 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Mediterranean Conference on Communications and Networking (MeditCom)
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Author:

Elbir Ahmet M.¹,Soner Burak²,Coleri Sinem³,Gunduz Deniz⁴,Bennis Mehdi⁵

Affiliation:

1. Duzce University,Department of Electrical and Electronics Engineering,Turkey

2. Interdisciplinary Centre for Security, Reliability and Trust, University of Luxembourg,Luxembourg

3. Koc University,Department of Electrical and Electronics Engineering,Istanbul,Turkey

4. Imperial College,Department of Electrical and Electronic Engineering,London,U.K.

5. University of Oulu,The Centre for Wireless Communications,Finland

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9928527/9928592/09928621.pdf?arnumber=9928621

Cited by 56 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. FedGen: Federated learning-based green edge computing for optimal route selection using genetic algorithm in Internet of Vehicular Things;Vehicular Communications;2024-10

2. A decision-making model for self-driving vehicles based on GPT-4V, federated reinforcement learning, and blockchain;Neural Computing and Applications;2024-09-04

3. Adaptive Traffic Prediction at the ITS Edge With Online Models and Blockchain-Based Federated Learning;IEEE Transactions on Intelligent Transportation Systems;2024-09

4. Samp-DSGD: Link Reliability Sampling Based Federated Learning for Vehicular Networks;IEEE Transactions on Intelligent Transportation Systems;2024-09

5. kubeFlower: A privacy-preserving framework for Kubernetes-based federated learning in cloud–edge environments;Future Generation Computer Systems;2024-08

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