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US Patent 10002029 Automated transfer of neural network definitions among federated areas

Patent 10002029 was granted and assigned to Sas (company) on June, 2018 by the United States Patent and Trademark Office.

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Contents

Is a
Patent
Patent

Patent attributes

Patent Applicant
Sas (company)
Sas (company)
Current Assignee
Sas (company)
Sas (company)
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
10002029
Patent Inventor Names
Henry Gabriel Victor Bequet0
Huina Chen0
Date of Patent
June 19, 2018
Patent Application Number
15896613
Date Filed
February 14, 2018
Patent Citations Received
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US Patent 12026219 Systems and methods for efficient computations on split data and split algorithms
0
‌
US Patent 11973743 Systems and methods for providing a systemic error in artificial intelligence algorithms
0
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US Patent 11977958 Network-accessible machine learning model training and hosting system
0
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US Patent 12019549 Intelligent content migration with borrowed memory
0
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US Patent 12019703 Systems and methods for providing a marketplace where data and algorithms can be chosen and interact via encryption
0
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US Patent 11507693 Systems and methods for providing a blind de-identification of privacy data
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US Patent 10078710 Distributed data set storage and analysis reproducibility
0
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US Patent 10291494 Distributing data analytics in a hierarchical network based on computational complexity
0
...
Patent Primary Examiner
‌
Hiren Patel
Patent abstract

An apparatus includes a processor to: receive, from a first remote device, a request to perform iterations of a training job flow to generate a neural network at least partly within a first federated area, wherein access to the first federated area is granted to the first remote device and not a second remote device, access to a second federated area is granted to the second remote device and not the first remote device, and a transfer area is maintained to transfer a neural network data set between the first and second federated areas; perform the at least some iterations; and analyze an output object generated in each iteration to determine whether a condition has been met to transfer a copy of the neural network data set from the first federated area to the transfer area to enable its transfer to the second federated area to test the neural network.

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