A Multi-Modal Tensor Ring Decomposition for Communication-Efficient and Trustworthy Federated Learning for ITS in COVID-19 Scenario-Reference-Cited by-同舟云学术

A Multi-Modal Tensor Ring Decomposition for Communication-Efficient and Trustworthy Federated Learning for ITS in COVID-19 Scenario

Published:2024-05 Issue:5 Volume:25 Page:3535-3547
ISSN:1524-9050
Container-title:IEEE Transactions on Intelligent Transportation Systems
language:
Short-container-title:IEEE Trans. Intell. Transport. Syst.

Author:

Zhao Ruonan¹^ORCID,Yang Laurence T.¹^ORCID,Liu Debin²^ORCID,Zhou Xiaokang³^ORCID,Deng Xianjun¹^ORCID,Tang Xueming¹^ORCID

Affiliation:

1. Hubei Key Laboratory of Distributed System Security, Hubei Engineering Research Center on Big Data Security, School of Cyber Science and Engineering, Huazhong University of Science and Technology (HUST), Wuhan, China

2. School of Computer Science and Technology, Huazhong University of Science and Technology (HUST), Wuhan, China

3. Faculty of Data Science, Shiga University, Hikone, Japan

Funder

National Natural Science Foundation of China

Artificial Intelligence and Intelligent Transportation Joint Technical Center of HUST and Hubei Chutian Intelligent Transportation Company Ltd.

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6979/10530501/10473204.pdf?arnumber=10473204

Reference32 articles.

1. Optimizing Living Material Delivery During the COVID-19 Outbreak

2. SS-ITS: secure scalable intelligent transportation systems

3. Anam-Net: Anamorphic Depth Embedding-Based Lightweight CNN for Segmentation of Anomalies in COVID-19 Chest CT Images

4. Convolutional neural networks for medical image analysis: State-of-the-art, comparisons, improvement and perspectives

5. Secure and Resilient Artificial Intelligence of Things: a HoneyNet Approach for Threat Detection and Situational Awareness

Cited by 2 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. Trustworthy Federated Learning: A Comprehensive Review, Architecture, Key Challenges, and Future Research Prospects;IEEE Open Journal of the Communications Society;2024

2. Tensor-Empowered Federated Learning for Cyber-Physical-Social Computing and Communication Systems;IEEE Communications Surveys & Tutorials;2023