中科微点-全球专利检索

  1. Login
  2. Sign Up

Search Results

8 records (took 0.015 seconds)

    MODEL GENERATION TECHNIQUES BASED ON AGGREGATION OF PARTIAL DATA
    4.
    发明申请
    MODEL GENERATION TECHNIQUES BASED ON AGGREGATION OF PARTIAL DATA 有权

    公开(公告)号：US20250086495A1

    公开(公告)日：2025-03-13

    申请号：US18367393

    申请日：2023-09-12

    Applicant: Adobe Inc.

    Inventor： Saayan Mitra ,  Xiang Chen ,  Sapthotharan Krishnan Nair ,  Renzhi Wu ,  Anup Rao

    IPC: G06N20/00

    Abstract: An edge node included in a decentralized edge computing network generates a federated partial-data aggregation machine learning model. The edge node learns one or more model parameters via machine learning techniques and receives one or more auxiliary model parameters from additional edge nodes in the decentralized edge computing network, such as from a neighbor node group. In some cases, a neighbor node is identified in response to determining that the neighbor node includes a model with a relatively high estimated relevance to the model of the edge node. The edge node modifies the model to include an aggregation of the learned model parameters and the received auxiliary parameters. Respective weights are learned for the learned model parameters and also for the received auxiliary parameters. During training to learn the respective weights, the edge node stabilizes the learned model parameters and the received auxiliary parameters.

    Cloud-Based Resource Allocation Using Meters
    5.
    发明公开
    Cloud-Based Resource Allocation Using Meters 审中-公开

    公开(公告)号：US20230259403A1

    公开(公告)日：2023-08-17

    申请号：US17674578

    申请日：2022-02-17

    Applicant: Adobe Inc.

    Inventor： Atanu R. Sinha ,  Shiv Kumar Saini ,  Sapthotharan Krishnan Nair ,  Saarthak Sandip Marathe ,  Manupriya Gupta ,  Brahmbhatt Paresh Anand ,  Ayush Chauhan

    IPC: G06F9/50 ,  H04L67/10 ,  H04L47/70

    CPC classification number: G06F9/5055 ,  H04L67/10 ,  H04L47/826

    Abstract: In implementations of systems for cloud-based resource allocation using meters, a computing device implements a resource system to receive resource data describing an amount of cloud-based resources reserved for consumption by client devices during a period of time and a total amount of cloud-based resources consumed by the client devices during the period of time. The resource system determines a consumption distribution using each meter included in a set of meters. Each of the consumption distributions allocates a portion of the total amount of the cloud-based resources consumed to each client device of the client devices. A particular meter used to determine a particular consumption distribution is selected based on a Kendall Tau coefficient of the particular consumption distribution. An amount of cloud-based resources to allocate for a future period of time is estimated using the particular meter and an approximate Shapley value.

    Cloud-based resource allocation using meters
    6.
    发明授权
    Cloud-based resource allocation using meters 有权

    公开(公告)号：US12086646B2

    公开(公告)日：2024-09-10

    申请号：US17674578

    申请日：2022-02-17

    Applicant: Adobe Inc.

    Inventor： Atanu R. Sinha ,  Shiv Kumar Saini ,  Sapthotharan Krishnan Nair ,  Saarthak Sandip Marathe ,  Manupriya Gupta ,  Brahmbhatt Paresh Anand ,  Ayush Chauhan

    IPC: G06F3/00 ,  G06F9/50 ,  H04L47/70 ,  H04L67/10

    CPC classification number: G06F9/5055 ,  H04L47/826 ,  H04L67/10

    Abstract: In implementations of systems for cloud-based resource allocation using meters, a computing device implements a resource system to receive resource data describing an amount of cloud-based resources reserved for consumption by client devices during a period of time and a total amount of cloud-based resources consumed by the client devices during the period of time. The resource system determines a consumption distribution using each meter included in a set of meters. Each of the consumption distributions allocates a portion of the total amount of the cloud-based resources consumed to each client device of the client devices. A particular meter used to determine a particular consumption distribution is selected based on a Kendall Tau coefficient of the particular consumption distribution. An amount of cloud-based resources to allocate for a future period of time is estimated using the particular meter and an approximate Shapley value.

Patent Agency Ranking