FedLiTeCAN : A Federated Lightweight Transformer for Fast and Robust CAN Bus Intrusion Detection
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Abstract (arXiv)
This work implements a lightweight Transformer model for IDS in the domain of Connected and Autonomous Vehicles
Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 10 of its 42 references that are in the map. First posted on arXiv 30 Dec 2025.
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10 of 42 references.
References · 10
- 2016Communication-Efficient Learning of Deep Networks from Decentralized Datacited by 7,592
- 2018Federated Optimization in Heterogeneous Networkscited by 2,971
- 2019TinyBERT: Distilling BERT for Natural Language Understandingcited by 1,153
- 2020Adaptive Federated Optimizationcited by 1,036
- 2020MobileBERT: a Compact Task-Agnostic BERT for Resource-Limited Devicescited by 476
- 2020Flower: A Friendly Federated Learning Research Frameworkcited by 449
- 2019GIDS: GAN based Intrusion Detection System for In-Vehicle Networkcited by 42
- 2022CAN-BERT do it? Controller Area Network Intrusion Detection System based on BERT Language Modelcited by 17
- 2022A Transfer Learning and Optimized CNN Based Intrusion Detection System for Internet of Vehiclescited by 11
- 2024A Robust Multi-Stage Intrusion Detection System for In-Vehicle Network Security using Hierarchical Federated Learningcited by 4
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