DAG-based swarm learning: A secure asynchronous learning framework for Internet of Vehicles Article Swipe
Xiaoge Huang
,
Hongbo Yin
,
Qianbin Chen
,
Yu Zeng
,
Jianfeng Yao
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1016/j.dcan.2023.10.004
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1016/j.dcan.2023.10.004
To provide diversified services in the intelligent transportation systems, smart vehicles will generate unprecedented amounts of data every day. Due to data security and user privacy issues, Federated Learning (FL) is considered a potential solution to ensure privacy-preserving in data sharing. However, there are still many challenges to applying the traditional synchronous FL directly in the Internet of Vehicles (IoV), such as unreliable communications and malicious attacks. In this paper, we propose a Directed Acyclic Graph (DAG) based Swarm Learning (DSL), which integrates edge computing, FL, and blockchain technologies to provide secure data sharing and model training in IoVs. To deal with the high mobility of vehicles, the dynamic vehicle association algorithm is introduced, which could optimize the connections between vehicles and road side units to improve the training efficiency. Moreover, to enhance the anti-attack property of the DSL algorithm, a malicious attack detection method is adopted, which could recognize malicious vehicles by the site confirmation rate. Furthermore, an accuracy-based reward mechanism is developed to promote vehicles to participate in the model training with honest behaviors. Finally, simulation results demonstrate that the proposed DSL algorithm could achieve better performance in terms of model accuracy, convergence rates and security compared with existing algorithms.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.dcan.2023.10.004
- OA Status
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- Cited By
- 6
- References
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All OpenAlex metadata
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https://openalex.org/W4388568840Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1016/j.dcan.2023.10.004Digital Object Identifier
- Title
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DAG-based swarm learning: A secure asynchronous learning framework for Internet of VehiclesWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2023Year of publication
- Publication date
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2023-11-10Full publication date if available
- Authors
-
Xiaoge Huang, Hongbo Yin, Qianbin Chen, Yu Zeng, Jianfeng YaoList of authors in order
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https://doi.org/10.1016/j.dcan.2023.10.004Publisher landing page
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YesWhether a free full text is available
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diamondOpen access status per OpenAlex
- OA URL
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https://doi.org/10.1016/j.dcan.2023.10.004Direct OA link when available
- Concepts
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Computer science, Digital subscriber line, Asynchronous communication, The Internet, Computer network, Computer security, Distributed computing, World Wide WebTop concepts (fields/topics) attached by OpenAlex
- Cited by
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6Total citation count in OpenAlex
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2025: 4, 2024: 2Per-year citation counts (last 5 years)
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35Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| referenced_works | https://openalex.org/W6840974921, https://openalex.org/W3161976591, https://openalex.org/W3202920624, https://openalex.org/W4206298942, https://openalex.org/W3106614600, https://openalex.org/W2974442408, https://openalex.org/W6781274125, https://openalex.org/W3013158795, https://openalex.org/W3037995725, https://openalex.org/W3007690081, https://openalex.org/W3037434189, https://openalex.org/W2756144809, https://openalex.org/W6801072781, https://openalex.org/W3021654819, https://openalex.org/W3041497362, https://openalex.org/W2335755599, https://openalex.org/W2914797198, https://openalex.org/W3006655855, https://openalex.org/W6663658149, https://openalex.org/W3013124972, https://openalex.org/W3206162503, https://openalex.org/W3164573547, https://openalex.org/W3033511014, https://openalex.org/W3155912831, https://openalex.org/W3019945581, https://openalex.org/W3138166792, https://openalex.org/W2945287947, https://openalex.org/W2067713319, https://openalex.org/W1989292852, https://openalex.org/W3100491179, https://openalex.org/W4289823876, https://openalex.org/W3159080474, https://openalex.org/W3045976864, https://openalex.org/W2591882872, https://openalex.org/W2051267297 |
| referenced_works_count | 35 |
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| abstract_inverted_index.In | 67 |
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| abstract_inverted_index.which | 81, 114, 147 |
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| abstract_inverted_index.(IoV), | 59 |
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| corresponding_author_ids | https://openalex.org/A5026001950 |
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| institutions_distinct_count | 5 |
| corresponding_institution_ids | https://openalex.org/I10535382 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/9 |
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| sustainable_development_goals[0].display_name | Industry, innovation and infrastructure |
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| citation_normalized_percentile.is_in_top_10_percent | False |