首页|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)
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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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.”
HarbinPeople’s Republic of ChinaAsiaArtificial IntelligenceCybersecurityEmerging TechnologiesMachine Learnin gHeilongjiang University
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