FedAPT: Joint Adaptive Parameter Freezing and Resource Allocation for Communication-Efficient Federated Vehicular Networks-Reference-Cited by-同舟云学术

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FedAPT: Joint Adaptive Parameter Freezing and Resource Allocation for Communication-Efficient Federated Vehicular Networks

Published:2024-06-01 Issue:11 Volume:11 Page:19520-19536
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Wu Jia¹^ORCID,Dai Tingyi¹,Guan Peiyuan²^ORCID,Liu Su³^ORCID,Gou Fangfang¹,Taherkordi Amir²^ORCID,Li Yushuai⁴^ORCID,Li Tianyi⁴^ORCID

Affiliation:

1. School of Computer Science and Technology, Guizhou University, Guiyang, China

2. Department of Informatics, University of Oslo, Oslo, Norway

3. School of Information Science and Engineering, Xinjiang University, Ürümqi, China

4. Department of Computer Science, Aalborg University, Aalborg, Denmark

Funder

Norwegian Research Council

European Horizon 2020 Marie Skłodowska Curie Actions

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6488907/10536937/10472320.pdf?arnumber=10472320

Reference42 articles.

1. Electrification of the two-car household: PHEV or BEV?

2. Multilevel Federated Learning-Based Intelligent Traffic Flow Forecasting for Transportation Network Management

3. Communication-efficient learning of deep networks from decentralized data;McMahan

4. Federated learning for mobile keyboard prediction;Hard;arXiv:1811.03604,2018

5. Accessible review of internet of vehicle models for intelligent transportation and research gaps for potential future directions

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