A federated FedAvg implementation of the CANdito LSTM autoencoder IDS achieves usable detection rates on the ReCAN dataset with slightly lower performance but higher communication cost than centralized training.
Graph-based intrusion detection system for controller area networks,
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Evaluating the Impact of Privacy-Preserving Federated Learning on CAN Intrusion Detection
A federated FedAvg implementation of the CANdito LSTM autoencoder IDS achieves usable detection rates on the ReCAN dataset with slightly lower performance but higher communication cost than centralized training.