PRE-RELEASE OF RECORDINGS FOR DIGITAL STREAMING PLATFORMS

    公开(公告)号:US20240143152A1

    公开(公告)日:2024-05-02

    申请号:US18050409

    申请日:2022-10-27

    Applicant: Lemon Inc.

    CPC classification number: G06F3/04847 G06F3/0482 G06F3/165

    Abstract: A computer system is provided for implementing a pre-release of a recording at a distribution platform. The computer system includes a processor coupled to a storage system that stores instructions, which, upon execution by the processor, cause the processor to present a release interface for the recording. The release interface includes graphical controls element for confirming the pre-release of the recording, for selecting a release date, and for selecting a pre-release date. The instructions further cause the processor to receive information describing a confirmation of the pre-release of the recording, a selected release date, and a selected pre-release date. The instructions further cause the processor to provide a truncated version of the recording for the pre-release of the recording. The instructions further cause the processor to transmit the truncated version of the recording to a digital streaming platform.

    HIGH-ACCESS-RATE DATA OBJECT TRANSFER
    74.
    发明公开

    公开(公告)号:US20240137318A1

    公开(公告)日:2024-04-25

    申请号:US18518361

    申请日:2023-11-22

    Applicant: Lemon Inc.

    CPC classification number: H04L47/12 G06N20/00 H04L67/1097

    Abstract: A computing system including one or more processing devices configured to detect a congestion condition occurring at a first storage node located in a storage network of a distributed storage system. The one or more processing devices are further configured to obtain respective first access rate data for a first plurality of data objects stored at the first storage node. Based at least in part on the first access rate data, the one or more processing devices are further configured to flag a first data object as a high-access-rate data object. The one or more processing devices are further configured to compute a transfer path between the first storage node and a second storage node in the storage network. The one or more processing devices are further configured to transfer the high-access-rate data object from the first storage node to the second storage node along the transfer path.

    Display screen or portion thereof with a graphical user interface

    公开(公告)号:USD1024094S1

    公开(公告)日:2024-04-23

    申请号:US29815603

    申请日:2021-11-15

    Applicant: Lemon Inc.

    Designer: Ling Zhong

    Abstract: FIG. 1 is a front view of a first embodiment of a display screen or portion thereof with a graphical user interface showing our new design; and,
    FIG. 2 is a front view of a second embodiment thereof.
    The outermost broken line rectangle illustrates a display screen or portion thereof and forms no part of the claimed design. The remaining broken lines illustrate portions of the graphical user interface that form no part of the claimed design.

    METHOD, APPARATUS, DEVICE AND MEDIUM FOR PROTECTING SENSITIVE DATA

    公开(公告)号:US20240126899A1

    公开(公告)日:2024-04-18

    申请号:US18539851

    申请日:2023-12-14

    Applicant: Lemon Inc.

    CPC classification number: G06F21/62 G06N3/04 G06N3/098

    Abstract: There are proposed a method, device, apparatus, and medium for protecting sensitive data. In a method, to-be-processed data is received from a server device. A processing result of a user for the to-be-processed data is received, the processing result comprising sensitive data of the user for the processing of the to-be-processed data. A gradient for training a server model at the server device is determined based on a comparison between the processing result and a prediction result for the to-be-processed data. The gradient is updated in a change direction associated with the gradient so as to generate an updated gradient to be sent to the server device. Noise is added only in the change direction associated with the gradient. The corresponding overhead of processing noise in a plurality of directions can be reduced, and no excessive noise data interfering with training will be introduced to the updated gradient.

    DETERMINING ONLINE CLASSIFIER PERFORMANCE VIA NORMALIZING FLOWS

    公开(公告)号:US20240119341A1

    公开(公告)日:2024-04-11

    申请号:US17953255

    申请日:2022-09-26

    Applicant: Lemon Inc.

    CPC classification number: G06N20/00

    Abstract: The present disclosure describes techniques for determining performance of a classifier. A first machine learning model and a second machine learning model may be trained by aggregating updates to the first machine learning model and the second machine learning model received from a plurality of client computing devices. A cumulative distribution function (CDF) associated with a distribution of the positive samples in the user data may be estimated using the trained first machine learning model. A probability density function (PDF) associated with a distribution of the negative samples in the user data may be estimated using the trained second machine learning model. An integration-based computation of an area under the receiver operating characteristic curve (AUC) of the classifier may be performed using the PDF and the CDF.

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