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US Patent 10360500 Two-phase distributed neural network training system

Patent 10360500 was granted and assigned to Sas (company) on July, 2019 by the United States Patent and Trademark Office.

OverviewStructured DataIssuesContributors
Is a
Patent
Patent
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Current Assignee
Sas (company)
Sas (company)
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Date Filed
April 5, 2018
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Date of Patent
July 23, 2019
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Patent Applicant
Sas (company)
Sas (company)
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Patent Application Number
15946331
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Patent Citations Received
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US Patent 11966818 System and method for self-healing in decentralized model building for machine learning using blockchain
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US Patent 11436692 Systems and methods for monetizing data in decentralized model building for machine learning using a blockchain
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US Patent 11876891 Secure parameter merging using homomorphic encryption for swarm learning
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US Patent 11886959 System and method for self-healing in decentralized model building for machine learning using blockchain
0
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US Patent 11887204 Systems and methods for monetizing data in decentralized model building for machine learning using a blockchain
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US Patent 11941528 Neural network training in a distributed system
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US Patent 11010370 System and method of decentralized management of multi-owner nodes using blockchain
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US Patent 11060504 Systems and methods for continuous machine learning based control of wind turbines
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US Patent 11605013 System and method of decentralized machine learning using blockchain
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US Patent 11649804 Systems and methods for controlling a wind turbine
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•••
Patent Inventor Names
Lawrence E. Lewis
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Mustafa Onur Kabul
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
10360500
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Patent Primary Examiner
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Scott A. Waldron
0

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