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    MACHINE LEARNING WITH FEATURE OBFUSCATION
    41.
    发明申请
    MACHINE LEARNING WITH FEATURE OBFUSCATION 有权

    公开(公告)号：US20210056405A1

    公开(公告)日：2021-02-25

    申请号：US16545837

    申请日：2019-08-20

    Applicant: Micron Technology, Inc.

    Inventor： Samuel E. Bradshaw ,  Shivasankar Gunasekaran ,  Sean Stephen Eilert ,  Ameen D. Akel ,  Kenneth Marion Curewitz

    IPC: G06N3/08 ,  G06F21/60

    Abstract: A system having multiple devices that can host different versions of an artificial neural network (ANN). In the system, inputs for the ANN can be obfuscated for centralized training of a master version of the ANN at a first computing device. A second computing device in the system includes memory that stores a local version of the ANN and user data for inputting into the local version. The second computing device includes a processor that extracts features from the user data and obfuscates the extracted features to generate obfuscated user data. The second device includes a transceiver that transmits the obfuscated user data. The first computing device includes a memory that stores the master version of the ANN, a transceiver that receives obfuscated user data transmitted from the second computing device, and a processor that trains the master version based on the received obfuscated user data using machine learning.

    DISTRIBUTED MACHINE LEARNING WITH PRIVACY PROTECTION
    42.
    发明申请
    DISTRIBUTED MACHINE LEARNING WITH PRIVACY PROTECTION 有权

    公开(公告)号：US20210056387A1

    公开(公告)日：2021-02-25

    申请号：US16545813

    申请日：2019-08-20

    Applicant: Micron Technology, Inc.

    Inventor： Sean Stephen Eilert ,  Shivasankar Gunasekaran ,  Ameen D. Akel ,  Kenneth Marion Curewitz ,  Hongyu Wang

    IPC: G06N3/04 ,  G06N20/20

    Abstract: 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.

    Memory Management Unit (MMU) for Accessing Borrowed Memory
    43.
    发明申请
    Memory Management Unit (MMU) for Accessing Borrowed Memory 审中-公开

    公开(公告)号：US20200379919A1

    公开(公告)日：2020-12-03

    申请号：US16424420

    申请日：2019-05-28

    Applicant: Micron Technology, Inc.

    Inventor： Samuel E. Bradshaw ,  Ameen D. Akel ,  Kenneth Marion Curewitz ,  Sean Stephen Eilert ,  Dmitri Yudanov

    IPC: G06F12/1027 ,  H04L29/08

    Abstract: Systems, methods and apparatuses to accelerate accessing of borrowed memory over network connection are described. For example, a memory management unit (MMU) of a computing device can be configured to be connected both to the random access memory over a memory bus and to a computer network via a communication device. The computing device can borrow an amount of memory from a remote device over a network connection using the communication device; and applications running in the computing device can use virtual memory addresses mapped to the borrowed memory. When a virtual address mapped to the borrowed memory is used, the MMU translates the virtual address into a physical address and instruct the communication device to access the borrowed memory.

    Feature dictionary for bandwidth enhancement
    45.
    发明授权
    Feature dictionary for bandwidth enhancement 有权

    公开(公告)号：US12248412B2

    公开(公告)日：2025-03-11

    申请号：US17841448

    申请日：2022-06-15

    Applicant: Micron Technology, Inc.

    Inventor： Kenneth Marion Curewitz ,  Ameen D. Akel ,  Hongyu Wang ,  Sean Stephen Eilert

    IPC: G06F13/16 ,  G06F18/214 ,  G06N3/08

    Abstract: A system having multiple devices that can host different versions of an artificial neural network (ANN) as well as different versions of a feature dictionary. In the system, encoded inputs for the ANN can be decoded by the feature dictionary, which allows for encoded input to be sent to a master version of the ANN over a network instead of an original version of the input which usually includes more data than the encoded input. Thus, by using the feature dictionary for training of a master ANN there can be reduction of data transmission.

    Exclusive or engine on random access memory
    47.
    发明授权
    Exclusive or engine on random access memory 有权

    公开(公告)号：US11556656B2

    公开(公告)日：2023-01-17

    申请号：US16582871

    申请日：2019-09-25

    Applicant: Micron Technology, Inc.

    Inventor： Shivam Swami ,  Sean S. Eilert ,  Ameen D. Akel ,  Kenneth Marion Curewitz ,  Hongyu Wang

    IPC: G06F21/60 ,  H03K19/21 ,  G06F21/79

    Abstract: Methods and apparatus of Exclusive OR (XOR) engine in a random access memory device to accelerate cryptographical operations in processors. For example, an integrated circuit memory device enclosed within a single integrated circuit package can include an XOR engine that is coupled with memory units in the random access memory device (e.g., having dynamic random access memory (DRAM) or non-volatile random access memory (NVRAM)). A processor (e.g., System-on-Chip (SoC) or Central Processing Unit (CPU)) can have encryption logic that performs cryptographical operations using XOR operations that are performed by the XOR engine in the random access memory device using the data in the random access memory device.

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