FusionFedBlock: Fusion of blockchain and federated learning to preserve privacy in industry 5.0
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The one-stage object detection approach has better execution exactness and speed on MS COCO and PASCAL VOC datasets.
“On the other hand, one one-stage approach has better ongoing execution exactness and speed on MS COCO and PASCAL VOC datasets [24,25].”
From Fusion of Deep Sort and Yolov5 for Effective Vehicle Detection and Tracking Scheme in Real-Time Traffic Management Sustainable System (2023) · cites this paper as [25]
Cites
A Blockchain-Based Decentralized Federated Learning Framework with Committee Consensus
Li, Y., Chen, C., Liu, N., Huang, H., Zheng, Z., & Yan, Q. (2021) · IEEE Network · doi:10.1109/mnet.011.2000263 · Cited by 645 · see citing works
Privacy-preserving blockchain-based federated learning for traffic flow prediction
Qi, Y., Hossain, M. S., Nie, J., & Li, X. (2021) · Future Generation Computer Systems · doi:10.1016/j.future.2020.12.003 · Cited by 339 · see citing works
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Decentralized federated learning: Fundamentals, state of the art, frameworks, trends, and challenges
Martínez Beltrán, E. T., Pérez, M. Q., Sánchez, P. M. S., Bernal, S. L., Bovet, G., Pérez, M. G., Pérez, G. M., & Celdrán, A. H. (2023) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2023.3315746 · Cited by 625 · see citing works
“In this sense, the use of advanced technologies such as 5G [138] or 6G [139] can help reduce communication limitations, improving network bandwidth and enable faster and more efficient data exchange.”
BackgroundInfluentialKumar, S., Singh, S. K., Varshney, S., Singh, S., Kumar, P., Kim, B.-G., & Ra, I.-H. (2023) · Sustainability · doi:10.3390/su152416869 · Cited by 46 · see citing works
Self-citationLightweight Privacy and Security Computing for Blockchained Federated Learning in IoT
Fan, M., Ji, K., Zhang, Z., Yu, H., & Sun, G. (2023) · IEEE Internet of Things Journal · doi:10.1109/jiot.2023.3267112 · Cited by 37 · see citing works
- Authors
- Singh, S. K., Yang, L. T., & Park, J. H.
- Affiliations
- Seoul National University of Science and Technology (KR)
- St. Francis Xavier University (CA)
- Corresponding author
- Park, Jong Hyuk
- Venue
- Information Fusion
- Publisher
- Elsevier BV
- Published
- 2023-02
- Volume
- 90
- Pages
- 233-240
- ISSN
- 1566-2535 (ISSN-L)
- OpenAlex
- W4298148350
- Cited by
- 115
- References
- 2
- Citations by year
- 2026: 20 · 2025: 22 · 2024: 46 · 2023: 26 · 2022: 1
- FWCI
- 23.51
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Information Fusion (publishedVersion)
- Funders
- National Research Foundation of Korea
- Ministry of Science, ICT and Future Planning (2022R1F1A1071926)
- Topics
- Physical Sciences › Computer Science › Information Systems › Blockchain Technology Applications and Security
- Physical Sciences › Computer Science › Artificial Intelligence › Privacy-Preserving Technologies in Data
- Physical Sciences › Computer Science › Information Systems › Blockchain Technology in Education and Learning
- Keywords
- blockchain, federated learning, Industry 5.0, privacy preservation, Internet of Things, distributed hash tables, decentralized storage, network automation, Internet of Things security
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