- 专利标题: Real-time machine learning at an edge of a distributed network
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申请号: US16945723申请日: 2020-07-31
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公开(公告)号: US11762442B1公开(公告)日: 2023-09-19
- 发明人: Matteo Merli , Karthikeyan Ramasamy , Ram Sriharsha
- 申请人: SPLUNK INC.
- 申请人地址: US CA San Francisco
- 专利权人: SPLUNK INC.
- 当前专利权人: SPLUNK INC.
- 当前专利权人地址: US CA San Francisco
- 代理机构: Artegis Law Group, LLP
- 主分类号: G06F1/26
- IPC分类号: G06F1/26 ; G06F1/3296 ; G06N20/00 ; H04L67/12
摘要:
Various implementations of the present application set forth a computer-implemented method comprising obtaining, by a low-power hub device, a first set of data published by an edge device, where the low-power hub device subscribes to at least a subset of data published by the edge device, generating, by the low-power hub device, a second set of data from the first set of data by inputting the first set of data into a machine learning (ML) model executing on the low-power hub device, and transmitting the second set of data to a remote server computer system.
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