Connected Vehicles in the IoV: Concepts, Technologies and Architectures
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Each is checked against this paper’s own text: does it say what the citing paper says it does?
FL and SMPC incur significant communication overheads when aggregating heterogeneous data (like LiDAR point clouds, camera feeds, and IoT sensor streams) from millions of vehicles and RSUs.
“FL and SMPC incur significant communication overheads when aggregating heterogeneous data (like LiDAR point clouds, camera feeds, and IoT sensor streams) from millions of vehicles and RSUs [12, 78, 94, 184].”
From Privacy-preserving Machine Learning in Internet of Vehicle Applications: Fundamentals, Recent Advances, and Future Direction (2025) · cites this paper as [94]
Cited by
Sorted by citations
Towards a secure ITS: Overview, challenges and solutions
Sleem, L., Noura, H. N., & Couturier, R. (2020) · Journal of Information Security and Applications · doi:10.1016/j.jisa.2020.102637 · Cited by 21 · see citing works
Islam, N., & Zulkernine, M. (2025) · arXiv · doi:10.48550/arxiv.2503.01089 · Cited by 1 · see citing works
“FL and SMPC incur significant communication overheads when aggregating heterogeneous data (like LiDAR point clouds, camera feeds, and IoT sensor streams) from millions of vehicles and RSUs [12, 78, 94, 184].”
- Authors
- Mahmood, Z.
- Affiliations
- University of Northampton (GB)
- Corresponding author
- Mahmood, Zaigham
- ORCID
- Mahmood, Zaigham
- Venue
- Connected Vehicles in the Internet of Things
- Publisher
- Springer International Publishing
- Published
- 2020
- Pages
- 3-18
- OpenAlex
- W2999959427
- Cited by
- 46
- References
- 0
- Citations by year
- 2026: 1 · 2025: 6 · 2024: 12 · 2023: 7 · 2022: 7 · 2021: 5 · 2020: 8
- FWCI
- 20.01
- Type
- book chapter
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Springer eBooks (publishedVersion)
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Vehicular Ad Hoc Networks (VANETs)
- Physical Sciences › Computer Science › Computer Networks and Communications › IoT and Edge/Fog Computing
- Physical Sciences › Engineering › Mechanical Engineering › IoT and GPS-based Vehicle Safety Systems
- Keywords
- connected vehicles, Internet of Vehicles, Internet of Everything, vehicle connectivity, vehicle-to-vehicle communication, intelligent transportation systems, edge computing, cloud computing, sensor technology, artificial intelligence in vehicles, vehicle architecture
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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