Federated unlearning in vehicular networks: removing faulty contributions after aggregation spreads symptoms across the fleet
Read the original at arxiv.org→arXiv:2610.22584v1 Announce Type: new Abstract: Connected vehicles train a driving model through federated learning (FL) and drive with it, so a faulty contribution often surfaces only as a delayed symptom on the...
Original headline: "Initiating Removal from Operational Symptoms in Federated Vehicular Networks"
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- Oct 19, 04:00 UTC arXiv cs.LG lead source Initiating Removal from Operational Symptoms in Federated Vehicular Networks