Robotics & Machine Learning Daily News2024,Issue(Jul.19) :8-8.

Reports Outline Artificial Intelligence Study Findings from Heilongjiang Univers ity (Heterogeneous Data-aware Federated Learning for Intrusion Detection Systems Via Meta-sampling In Artificial Intelligence of Things)

Robotics & Machine Learning Daily News2024,Issue(Jul.19) :8-8.

Reports Outline Artificial Intelligence Study Findings from Heilongjiang Univers ity (Heterogeneous Data-aware Federated Learning for Intrusion Detection Systems Via Meta-sampling In Artificial Intelligence of Things)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in Artificial Intelligence. According to news reportingfrom Harbin, People’s Repub lic of China, by NewsRx journalists, research stated, “Intrusion detectionsyste ms (IDSs) integrated with machine learning (ML) techniques have proven to be eff ective defensesagainst the increasing cybersecurity attacks in the Artificial I ntelligence of Things (AIoT) domain. Privacyconcerns have prompted the emergenc e of federated learning (FL) as a promising solution for AIoTintrusion detectio n.”

Key words

Harbin/People’s Republic of China/Asia/Artificial Intelligence/Cybersecurity/Emerging Technologies/Machine Learnin g/Heilongjiang University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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