System and method to commit container changes on a VM-based container

    公开(公告)号:US11620146B2

    公开(公告)日:2023-04-04

    申请号:US16986899

    申请日:2020-08-06

    Applicant: VMware, Inc.

    Abstract: Disclosed herein are embodiments for committing changes of an image of a virtual machine-based container running on a host computer system. A starting image for a container is obtained from a guest starting folder, and while the container runs the starting image changes to the image made by the running container are captured in a guest folder that is union mounted with the guest starting folder. Another union folder, which is the union of a new host folder and the starting folder, contains the changed image which can be used for the container or transferred to a different container.

    TECHNIQUES FOR INTER-CLOUD FEDERATED LEARNING

    公开(公告)号:US20240012680A1

    公开(公告)日:2024-01-11

    申请号:US17874182

    申请日:2022-07-26

    Applicant: VMware, Inc.

    CPC classification number: G06F9/4881 G06F9/5072 G06F9/44505

    Abstract: Techniques for facilitating inter-cloud federated learning (FL) are provided. In one set of embodiments, these techniques comprise an FL lifecycle manager that enables users to centrally manage the lifecycles of FL components across different cloud platforms. The lifecycle management operations enabled by the FL lifecycle manager can include deploying/installing FL components on the cloud platforms, updating the components, and uninstalling the components. In a further set of embodiments, these techniques comprise an FL job manager that enables users to centrally manage the execution of FL training runs (i.e., FL jobs) on FL components that have been deployed via the FL lifecycle manager. For example, the FL job manager can enable users to define the parameters and configuration of an FL job, initiate the job, monitor the job's status, take actions on the running job, and collect the job's results.

    COLLABORATIVE DATA SCHEMA MANAGEMENT FOR FEDERATED LEARNING

    公开(公告)号:US20230229640A1

    公开(公告)日:2023-07-20

    申请号:US17580574

    申请日:2022-01-20

    Applicant: VMware, Inc.

    CPC classification number: G06F16/211 G06N20/00 G06F16/27

    Abstract: A collaborative data schema management system for federated learning (i.e., federated data manager (FDM)) is provided. Among other things, FDM enables the members of a federated learning alliance to (1) propose data schemas for use by the alliance, (2) identify and bind local datasets to proposed schemas, (3) create, based on the proposed schemas, training datasets for addressing various ML tasks, and (4) control, for each training dataset, which of the local datasets bound to that training dataset (and thus, which alliance members) will actually participate in the training of a particular ML model. FDM enables these features while ensuring that the contents of the members' local datasets remain hidden from each other, thereby preserving the privacy of that data.

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