most citedEvaluating the Impact of Privacy-Preserving Federated Learning on CAN Intrusion Detection

6 citations · 6 across the 1 of their papers we have counts for

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1 paper

cs.CR2025★ 6 cited

Evaluating the Impact of Privacy-Preserving Federated Learning on CAN Intrusion Detection

Gabriele Digregorio, Elisabetta Cainazzo, Stefano Longari +2

The challenges derived from the data-intensive nature of machine learning in conjunction with technologies that enable novel paradigms such as V2X and the potential offered by 5G c…