首页|Findings on Intelligent Vehicles Discussed by Investigators at Purdue University (Federated Learning for Connected and Automated Vehicles: a Survey of Existing Approaches and Challenges)
Findings on Intelligent Vehicles Discussed by Investigators at Purdue University (Federated Learning for Connected and Automated Vehicles: a Survey of Existing Approaches and Challenges)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews - Fresh data on Transportation - Intelligent Vehicl es are presented in a new report. Accordingto news reporting originating in Wes t Lafayette, Indiana, by NewsRx journalists, research stated, “Machinelearning (ML) is widely used for key tasks in Connected and Automated Vehicles (CAV), inc ludingperception, planning, and control. However, its reliance on vehicular dat a for model training presentssignificant challenges related to in-vehicle user privacy and communication overhead generated by massivedata volumes.”
West LafayetteIndianaUnited StatesNorth and Central AmericaIntelligent VehiclesTransportationPurdue Universi ty
NETL
NSTL
