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US Patent 11755884 Distributed machine learning with privacy protection

Patent 11755884 was granted and assigned to Micron Technology on September, 2023 by the United States Patent and Trademark Office.

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Contents

Is a
Patent
Patent

Patent attributes

Patent Applicant
Micron Technology
Micron Technology
Current Assignee
Micron Technology
Micron Technology
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
11755884
Patent Inventor Names
Shivasankar Gunasekaran
Ameen D. Akel
Kenneth Marion Curewitz
Sean Stephen Eilert
Hongyu Wang
Date of Patent
September 12, 2023
Patent Application Number
16545813
Date Filed
August 20, 2019
Patent Citations
‌
US Patent 9413779 Learning model selection in a distributed network
‌
US Patent 8250503 Hardware definition method including determining whether to implement a function as hardware or software
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US Patent 8686549 Reconfigurable elements
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US Patent 8819505 Data processor having disabled cores
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US Patent 8914590 Data processing method and device
‌
US Patent 9245188 Lane detection system and method
‌
US Patent 10672200 System and method for providing inter-vehicle communications amongst autonomous vehicles
‌
US Patent 10678244 Data synthesis for autonomous control systems
...
Patent Primary Examiner
‌
Tsu-Chang Lee
CPC Code
‌
G06N 3/0481
‌
G06N 20/00
‌
G06N 3/0454

A system having multiple devices that can host different versions of an artificial neural network (ANN). In the system, changes to local versions of the ANN can be combined with a master version of the ANN. In the system, a first device can include memory that can store the master version, a second device can include memory that can store a local version of the ANN, and there can be many devices that store local versions of the ANN. The second device (or any other device of the system hosting a local version) can include a processor that can train the local version, and a transceiver that can transmit changes to the local version generated from the training. The first device can include a transceiver that can receive the changes to a local version, and a processing device that can combine the received changes with the master version.

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