MODEL ASSEMBLY WITH KNOWLEDGE DISTILLATION

    公开(公告)号:US20250086493A1

    公开(公告)日:2025-03-13

    申请号:US18243259

    申请日:2023-09-07

    Abstract: In one implementation, a device receives, via a user interface, one or more constraint parameters for each of a plurality of machine learning models that perform different analytics tasks. The device computes, based on the one or more constraint parameters, a set of weights for the plurality of machine learning models. The device generates a unified model by performing knowledge distillation on the plurality of machine learning models using the set of weights. The device deploys the unified model for execution by a particular node in a network.

    LABEL-BASED DATA GOVERNANCE ENFORCEMENT FOR DECENTRALIZED SYSTEMS

    公开(公告)号:US20250133115A1

    公开(公告)日:2025-04-24

    申请号:US18381289

    申请日:2023-10-18

    Abstract: In one embodiment, a sidecar proxy executed by a device extracts label information from input data for input to a microservice associated with the sidecar proxy indicative of a lineage of the input data. The sidecar proxy makes, based on the label information, a determination as to whether the microservice processing the input data would violate a data governance policy. The sidecar proxy provides, based on the determination, the input data to the microservice. The sidecar proxy tags output data generated by the microservice with appended label information that includes the label information extracted from the input data and an indication of a data transformation performed by the microservice to the input data to form the output data.

    TRUSTED EXECUTION ENVIRONMENT FOR DISTRIBUTED DATA SECURITY IN THE SERVICE MESH

    公开(公告)号:US20250132918A1

    公开(公告)日:2025-04-24

    申请号:US18381835

    申请日:2023-10-19

    Abstract: In one implementation, a method is disclosed comprising: associating, by a device in a service mesh, a security function with a portion of an online application that is executed in a distributed manner across the service mesh; executing, by the device, the security function and the portion of the online application within a trusted execution environment of the device to produce output data; generating, by the device, a cryptographic proof for the output data based on the security function; and providing, by the device, the output data and the cryptographic proof to a remote execution environment within the service mesh to establish a verifiable data lineage for the output data.

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