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Clean-label Poisoning Attack and Defense Game for Federated Learning in Vehicular Networks
and-cluster-computingartificial-intelligencedistributedmachine-learningnetworking-and-internet-architectureparallelsignal-processing
This paper studies interactions between clean-label poisoning attack and defense in vehicular networks using federated learning (FL). Basic Safety Message (BSM) classification for anomaly detection is modeled as a distributed learning problem over a vehicular network with dynamic topology. As a crit
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