首页|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)
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)
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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.”
North Carolina Agricultural and Technica l State UniversityGreensboroNorth CarolinaUnited StatesNorth and Central AmericaCybersecurityCyborgsEmerging TechnologiesMachine Learning
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