Robotics & Machine Learning Daily News2024,Issue(Jul.5) :78-79.

Findings on Intelligent Vehicles Discussed by Investigators at Purdue University (Federated Learning for Connected and Automated Vehicles: a Survey of Existing Approaches and Challenges)

Robotics & Machine Learning Daily News2024,Issue(Jul.5) :78-79.

Findings on Intelligent Vehicles Discussed by Investigators at Purdue University (Federated Learning for Connected and Automated Vehicles: a Survey of Existing Approaches and Challenges)

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Abstract

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.”

Key words

West Lafayette/Indiana/United States/North and Central America/Intelligent Vehicles/Transportation/Purdue Universi ty

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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