Securing vehicular ad hoc networks with blockchain-based federated learning to form infrastructure layer of autonomous mobility


"vehicles share speed, location, road condition data to prevent accidents/ optimize flow, but privacy/ security risks, overcome: vehicles train local AI model on own data on own edge computer, only sharing model updates (mathematical weights, not private raw data), blockchain records/ verifies model updates ensuring aren't being hacked, assigns trust score to each vehicle filtering out malicious ones... immune to single point of failure attacking traffic grid... reduces smart city infrastructure's massive bandwidth costs"

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