{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11303657","patent":{"patent_number":"US-11303657","title":"Applying condensed machine learned models within a local network","assignee":null,"inventors":[],"filing_date":"2018-03-01T00:00:00.000Z","publication_date":"2022-04-12T00:00:00.000Z","cpc_codes":["H04L","G06F","G06F","G06F","G06F","G06N","H04L","H04L","H04L","H04L","H04L","H04L","H04L","H04L"],"num_claims":18,"abstract":"The behavior analysis engine can condense stored machine-learned models and transmit the condensed versions of the machine-learned models to the network traffic hub to be applied in the local networks. When the behavior analysis engine receives new data that can be used to further train a machine-learned model, the behavior analysis engine updates the machine-learned model and generates a condensed-version of the machine-learned model. The condensed-version of the machine-learned model may be more resource efficient than the machine-learned model while capable of making similar or the same decisions as the machine-learned model. The behavior analysis engine transmits the condensed version of the machine-learned model to the network traffic hub and the network traffic hub uses the condensed-version of the machine-learned model to identify malicious behavior in the local network."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Applying condensed machine learned models within a local network","description":"The behavior analysis engine can condense stored machine-learned models and transmit the condensed versions of the machine-learned models to the network traffic hub to be applied in the local networks","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11303657","license":"CC-BY-4.0-like","license_terms":"AI-generated analysis on this page (summary, layman_explanation, technical_analysis, business_analysis, faqs) may be reused with attribution and a visible link back to the canonical URL above. Patent abstracts, claims, and bibliographic data are USPTO public domain.","required_link":"https://patentable.app/patents/US-11303657","citation_suggestion":"Patentable. \"Applying condensed machine learned models within a local network\" (US-11303657). https://patentable.app/patents/US-11303657","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11303657","json":"https://patentable.app/api/llm-context/US-11303657","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T06:22:54.907Z"}