Multi-objective federated learning traffic prediction in vehicular network for intelligent transportation system
- DOI
- 10.7717/peerj-cs.2922
- Published
- 2025-06-03
- Container
- PeerJ Computer Science
- Publisher
- PeerJ
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.7717/peerj-cs.2922,
title = {Multi-objective federated learning traffic prediction in vehicular network for intelligent transportation system},
author = {Arulmurgan Aalavanthar and Famila S. and Shanmugam Sundaramurthy and Stefano Cirillo and Giandomenico Solimando and Giuseppe Polese},
year = {2025},
journal = {PeerJ Computer Science},
doi = {10.7717/peerj-cs.2922},
url = {https://doi.org/10.7717/peerj-cs.2922}
}RIS
TY - JOUR TI - Multi-objective federated learning traffic prediction in vehicular network for intelligent transportation system AU - Arulmurgan Aalavanthar AU - Famila S. AU - Shanmugam Sundaramurthy AU - Stefano Cirillo AU - Giandomenico Solimando AU - Giuseppe Polese PY - 2025 JO - PeerJ Computer Science DO - 10.7717/peerj-cs.2922 UR - https://doi.org/10.7717/peerj-cs.2922 ER -
APA
Aalavanthar, A., S., F., Sundaramurthy, S., Cirillo, S., Solimando, G., & Polese, G. (2025). Multi-objective federated learning traffic prediction in vehicular network for intelligent transportation system. PeerJ Computer Science. https://doi.org/10.7717/peerj-cs.2922
Source records
- crossref · retrieved 2026-09-24T20:04:21.265Z