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公开(公告)号:US11810088B2
公开(公告)日:2023-11-07
申请号:US16983692
申请日:2020-08-03
Applicant: Huawei Technologies Co., Ltd.
Inventor: Guangbin Fan , Jiafeng Zhu , Nino Vidovic , George Vanecek, Jr.
IPC: G06F21/00 , G06Q20/12 , H04N21/4627 , H04N21/254 , H04N21/2743 , G06Q10/101 , G06Q50/00 , G06Q30/0601 , G06Q20/42 , H04L67/10
CPC classification number: G06Q20/123 , G06Q10/101 , G06Q20/42 , G06Q30/0601 , G06Q30/0633 , G06Q50/01 , H04L67/10 , H04N21/2541 , H04N21/2743 , H04N21/4627
Abstract: A system for managing, storing and providing shared digital content to a group of users in a multi-platform environment, comprising a cloud storage component configured to store digital content items that are shared by members in a user relationship defined group, and a cloud service component configured to provide one of the digital content items to a first platform for a first member of the user relationship defined group in a format suitable for the first platform and to a second platform for a second member of the user relationship defined group in a format suitable for the second platform, wherein the first platform and the second platform are different platforms.
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公开(公告)号:US20230305899A1
公开(公告)日:2023-09-28
申请号:US18318246
申请日:2023-05-16
Applicant: Huawei Technologies Co., Ltd.
Inventor: Jiafeng Zhu , Jie Shen , Liya Chen , Feng Ye
IPC: G06F9/50
CPC classification number: G06F9/5038 , G06F9/5072
Abstract: A method implemented by a multi-access edge computing (MEC) distributed controller includes receiving a MEC computing task request for execution of a service on MEC nodes controlled by the MEC distributed controller; obtaining mobile device geo-location information associated with the mobile device; determining an execution plan and a pool of MEC nodes, the execution plan and the pool of MEC nodes being for the execution of the service, the determining being in accordance with the mobile device geo-location information; scheduling the execution plan for the pool of MEC nodes; and deploying the scheduled execution plan.
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公开(公告)号:US20210342694A1
公开(公告)日:2021-11-04
申请号:US17371590
申请日:2021-07-09
Applicant: Huawei Technologies Co., Ltd.
Inventor: Jiafeng Zhu , Wei Wei , Jianle Chen , Wei Wang , Jie Shen
Abstract: A first aspect relates to a computer-implemented method for performing model compression. The method includes compressing a machine learning (ML) network model comprising a multiple layer structure to produce a compressed ML network model. The compressed ML network model maintains the multiple layer structure of the ML network model. The method generates a model file for the compressed ML network model. The model file includes the compressed ML network model and decoding information for enabling the ML network model to be decompressed and executed layer-by-layer.
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公开(公告)号:US12271819B2
公开(公告)日:2025-04-08
申请号:US17371590
申请日:2021-07-09
Applicant: Huawei Technologies Co., Ltd.
Inventor: Jiafeng Zhu , Wei Wei , Jianle Chen , Wei Wang , Jie Shen
Abstract: A first aspect relates to a computer-implemented method for performing model compression. The method includes compressing a machine learning (ML) network model comprising a multiple layer structure to produce a compressed ML network model. The compressed ML network model maintains the multiple layer structure of the ML network model. The method generates a model file for the compressed ML network model. The model file includes the compressed ML network model and decoding information for enabling the ML network model to be decompressed and executed layer-by-layer.
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