Robotics & Machine Learning Daily News2024,Issue(Apr.30) :104-105.

Data on Machine Learning Detailed by Researchers at North Carolina Agricultural and Technical State University (FL-IDS: Federated Learning-Based Intrusion Detec tion System Using Edge Devices for Transportation IoT)

Robotics & Machine Learning Daily News2024,Issue(Apr.30) :104-105.

Data on Machine Learning Detailed by Researchers at North Carolina Agricultural and Technical State University (FL-IDS: Federated Learning-Based Intrusion Detec tion System Using Edge Devices for Transportation IoT)

扫码查看

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in artific ial intelligence. According to news reporting fromGreensboro, North Carolina, b y NewsRx journalists, research stated, “A federated learning-based intrusiondet ection system (FL-IDS) is introduced to enhance the security of vehicular networ ks in the contextof IoT edge device implementations. The FL-IDS system protects data privacy by using local learning, inwhich devices share only model updates with an aggregation server.”

Key words

North Carolina Agricultural and Technica l State University/Greensboro/North Carolina/United States/North and Central America/Cybersecurity/Cyborgs/Emerging Technologies/Machine Learning

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
段落导航相关论文