Location-private traffic flow prediction via an encrypted geometric recruitment framework
This work proposes a location privacy-preserving traffic flow prediction framework that moves all location-sensitive operations into an encrypted recruitment protocol and builds a Gated Recurrent Unit (GRU) based traffic flow prediction model that operates on high-fidelity time series under strict location privacy cons...