FedTSE: Low-Cost Federated Learning for Privacy-Preserved Traffic State Estimation in IoV-Reference-Cited by-同舟云学术

FedTSE: Low-Cost Federated Learning for Privacy-Preserved Traffic State Estimation in IoV

Published:2022-05-02 Issue: Volume: Page:
ISSN:
Container-title:IEEE INFOCOM 2022 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)
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Author:

Yuan Xiaoming¹,Chen Jiahui¹,Zhang Ning²,Zhu Chunsheng³,Ye Qiang⁴,Shen Xuemin Sherman⁵

Affiliation:

1. Northeastern University,Qinhuangdao Branch Campus,Qinhuangdao,China,066004

2. University of Windsor,Department of Electrical and Computer Engineering,Windsor,ON,Canada,N9B 3P4

3. SUSTech Institute of Future Networks, Southern University of Science and Technology,Shenzhen,China,518055

4. Memorial University of Newfoundland,Department of Computer Science,St. John’s,NL,Canada,A1B 3X5

5. University of Waterloo,Department of Electrical and Computer Engineering,Waterloo,Canada,N2L 3G1

Funder

National Natural Science Foundation of China

Natural Science Foundation of Hebei Province

Fundamental Research Funds for the Central Universities

Aeronautical Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9797887/9797888/09798018.pdf?arnumber=9798018

Reference20 articles.

1. Global-Local Temporal Convolutional Network for Traffic Flow Prediction

2. Spatial-temporal fusion graph neural networks for traffic flow forecasting;li;Proc 35th AAAI Conference on Artificial Intelligence,2021

3. Communication-efficient learning of deep networks from decentralized data;mcmahan;Proc 20th AISTATS Conference,2017

4. Min-max cost optimization for efficient hierarchical federated learning in wireless edge networks;feng;IEEE Transactions on Parallel and Distributed Systems,2021

5. Communication-Efficient Federated Deep Learning With Layerwise Asynchronous Model Update and Temporally Weighted Aggregation

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3. Federated Learning for Connected and Automated Vehicles: A Survey of Existing Approaches and Challenges;IEEE Transactions on Intelligent Vehicles;2023

4. Fed-NTP: A Federated Learning Algorithm for Network Traffic Prediction in VANET;IEEE Access;2022