BOppCL: Blockchain-Enabled Opportunistic Federated Learning Applied in Intelligent Transportation Systems
In this paper, we present a novel blockchain-enabled approach to opportunistic federated learning (OppCL) for intelligent transportation systems (ITS). Our approach integrates blockchain with OppCL to streamline the learning of autonomous vehicle models while addressing data privacy and trust challe...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-12-01
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| Series: | Electronics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2079-9292/13/1/136 |
| _version_ | 1797358971777974272 |
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| author | Qiong Li Wennan Wang Yizhao Zhu Zuobin Ying |
| author_facet | Qiong Li Wennan Wang Yizhao Zhu Zuobin Ying |
| author_sort | Qiong Li |
| collection | DOAJ |
| description | In this paper, we present a novel blockchain-enabled approach to opportunistic federated learning (OppCL) for intelligent transportation systems (ITS). Our approach integrates blockchain with OppCL to streamline the learning of autonomous vehicle models while addressing data privacy and trust challenges. We deploy resilient countermeasures, incentivized mechanisms, and a secure gradient distribution to combat single-point failure verification attacks. Additionally, we integrate the Byzantine fault-tolerant algorithm (BFT) into the node verification component of the delegated proof of stake (DPoS) to minimize verification delays. We validate our approach through experiments on the MNIST, SVHN, and CIFAR-10 datasets, showing convergence rates and prediction accuracy comparable to traditional OppCL approaches. |
| first_indexed | 2024-03-08T15:09:53Z |
| format | Article |
| id | doaj.art-e7a55b9a956a423d85122326db0fbb80 |
| institution | Directory Open Access Journal |
| issn | 2079-9292 |
| language | English |
| last_indexed | 2024-03-08T15:09:53Z |
| publishDate | 2023-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Electronics |
| spelling | doaj.art-e7a55b9a956a423d85122326db0fbb802024-01-10T14:54:41ZengMDPI AGElectronics2079-92922023-12-0113113610.3390/electronics13010136BOppCL: Blockchain-Enabled Opportunistic Federated Learning Applied in Intelligent Transportation SystemsQiong Li0Wennan Wang1Yizhao Zhu2Zuobin Ying3Faculty of Data Science, City University of Macau, Macau 999078, ChinaFaculty of Data Science, City University of Macau, Macau 999078, ChinaFaculty of Data Science, City University of Macau, Macau 999078, ChinaFaculty of Data Science, City University of Macau, Macau 999078, ChinaIn this paper, we present a novel blockchain-enabled approach to opportunistic federated learning (OppCL) for intelligent transportation systems (ITS). Our approach integrates blockchain with OppCL to streamline the learning of autonomous vehicle models while addressing data privacy and trust challenges. We deploy resilient countermeasures, incentivized mechanisms, and a secure gradient distribution to combat single-point failure verification attacks. Additionally, we integrate the Byzantine fault-tolerant algorithm (BFT) into the node verification component of the delegated proof of stake (DPoS) to minimize verification delays. We validate our approach through experiments on the MNIST, SVHN, and CIFAR-10 datasets, showing convergence rates and prediction accuracy comparable to traditional OppCL approaches.https://www.mdpi.com/2079-9292/13/1/136blockchainopportunistic federated learningBOppCLintelligent transportation system |
| spellingShingle | Qiong Li Wennan Wang Yizhao Zhu Zuobin Ying BOppCL: Blockchain-Enabled Opportunistic Federated Learning Applied in Intelligent Transportation Systems Electronics blockchain opportunistic federated learning BOppCL intelligent transportation system |
| title | BOppCL: Blockchain-Enabled Opportunistic Federated Learning Applied in Intelligent Transportation Systems |
| title_full | BOppCL: Blockchain-Enabled Opportunistic Federated Learning Applied in Intelligent Transportation Systems |
| title_fullStr | BOppCL: Blockchain-Enabled Opportunistic Federated Learning Applied in Intelligent Transportation Systems |
| title_full_unstemmed | BOppCL: Blockchain-Enabled Opportunistic Federated Learning Applied in Intelligent Transportation Systems |
| title_short | BOppCL: Blockchain-Enabled Opportunistic Federated Learning Applied in Intelligent Transportation Systems |
| title_sort | boppcl blockchain enabled opportunistic federated learning applied in intelligent transportation systems |
| topic | blockchain opportunistic federated learning BOppCL intelligent transportation system |
| url | https://www.mdpi.com/2079-9292/13/1/136 |
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