{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11947599","patent":{"patent_number":"US-11947599","title":"Data confidentiality-preserving machine learning on remote datasets","assignee":null,"inventors":[],"filing_date":"2022-10-27T00:00:00.000Z","publication_date":"2024-04-02T00:00:00.000Z","cpc_codes":["G06F","G06F","G06F","G06N","G06Q","G06F"],"num_claims":20,"abstract":"The present disclosure involves systems, software, and computer implemented methods for data confidentiality-preserving machine learning on remote datasets. An example method includes receiving connection information for connecting to a remote customer database and storing the connection information in a machine learning runtime. Workload schedule information for allowable time windows for machine learning pipeline execution on remote customer data of the customer is received from the customer. A determination is made that an execution queue includes a machine learning pipeline during an allowed time window. The connection information is used to connect to the remote customer database during the allowed time window. Execution is triggered by the machine learning runtime of the machine learning pipeline on the remote customer database. Aggregate evaluation data corresponding to the execution of the machine learning pipeline on the remote customer database is received and provided to a user."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Data confidentiality-preserving machine learning on remote datasets","description":"The present disclosure involves systems, software, and computer implemented methods for data confidentiality-preserving machine learning on remote datasets. An example method includes receiving connec","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11947599","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-11947599","citation_suggestion":"Patentable. \"Data confidentiality-preserving machine learning on remote datasets\" (US-11947599). https://patentable.app/patents/US-11947599","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11947599","json":"https://patentable.app/api/llm-context/US-11947599","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T15:09:20.524Z"}