# Multi-objective federated learning traffic prediction in vehicular network for intelligent transportation system

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/multi-objective-federated-learning-traffic-prediction-in-vehicular-network-for/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Arulmurgan Aalavanthar,S. Famila,Shanmugam Sundaramurthy,Stefano Cirillo,Giandomenico Solimando,Giuseppe Polese |
| Citations | 5 |
| DOI | 10.7717/peerj-cs.2922 |
| Fields | Engineering |
| Open Access | true |
| OA Status | gold |
| OA URL | https://peerj.com/articles/cs-2922.pdf |
| OpenAlex ID | https://openalex.org/W4411001044 |
| PMID | 40567762 |
| Type | article |
| Year | 2025 |

## Paper authors

- [Shanmugam Sundaramurthy](https://scholariq.org/researchers/shanmugam-sundaramurthy/)

## Paper primary topic

- [Traffic Prediction and Management Techniques](https://scholariq.org/topics/traffic-prediction-and-management-techniques/)

## Paper topics

- [Traffic Prediction and Management Techniques](https://scholariq.org/topics/traffic-prediction-and-management-techniques/)
- [Vehicular Ad Hoc Networks (VANETs)](https://scholariq.org/topics/vehicular-ad-hoc-networks-vanets/)
- [Vehicle License Plate Recognition](https://scholariq.org/topics/vehicle-license-plate-recognition/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.