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公开(公告)号:US11481483B2
公开(公告)日:2022-10-25
申请号:US16745510
申请日:2020-01-17
摘要: Embodiments of the present disclosure disclose a machine learning training method and a server. The method includes: acquiring training data uploaded by the terminal; creating a trusted execution environment in response to a machine learning training request from the terminal; and performing machine learning training based on the trusted execution environment and the training data.
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2.
公开(公告)号:US20200090552A1
公开(公告)日:2020-03-19
申请号:US16429779
申请日:2019-06-03
发明人: Zhi Feng , Yu Zhang , Xiaoning Yu , Haosu Guo
摘要: Embodiments of a secure multi-party computation method are provided. The method can include: dynamically converting a multi-party computation program segment into a first garbled circuit by using a multi-party computation operator of a first main body, and executing garbled gates of the first garbled circuit in sequence through an execution engine of the first main body, to encrypt data of the first main body; transmitting to a second main body the encrypted data of the first main body and identifiers for garbled gates of the first garbled circuit; performing a second encryption on the encrypted data of the first main body by the second main body in sequence according to the received identifiers for the garbled gates of the first garbled circuit, and returning to the first main body a result of the second encryption on the encrypted data of the first main body.
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公开(公告)号:US20190196933A1
公开(公告)日:2019-06-27
申请号:US16106173
申请日:2018-08-21
发明人: Yong Li , Zhi Feng , Zhiqiang Zhang , Haizhu Li , Shun Zhang , Yunzhu Wang
CPC分类号: G06F11/3447 , G06F11/3495 , G06F16/904
摘要: A data visual analysis method, system and terminal, and a computer readable storage medium are provided. The method includes: obtaining to-be-analyzed parameters and generating a data analysis model, the data analysis model including a plurality of execution units; the data sources collecting data information related to the to-be-analyzed parameters; the execution units performing analysis on the data information collected by the data sources, to obtain execution results of the execution units; and visually outputting the execution results of the execution units.
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4.
公开(公告)号:US11282413B2
公开(公告)日:2022-03-22
申请号:US16429779
申请日:2019-06-03
发明人: Zhi Feng , Yu Zhang , Xiaoning Yu , Haosu Guo
摘要: Embodiments of a secure multi-party computation method are provided. The method can include: dynamically converting a multi-party computation program segment into a first garbled circuit by using a multi-party computation operator of a first main body, and executing garbled gates of the first garbled circuit in sequence through an execution engine of the first main body, to encrypt data of the first main body; transmitting to a second main body the encrypted data of the first main body and identifiers for garbled gates of the first garbled circuit; performing a second encryption on the encrypted data of the first main body by the second main body in sequence according to the received identifiers for the garbled gates of the first garbled circuit, and returning to the first main body a result of the second encryption on the encrypted data of the first main body.
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公开(公告)号:US11120018B2
公开(公告)日:2021-09-14
申请号:US16600717
申请日:2019-10-14
IPC分类号: G06F16/242 , G06F16/2453 , G06F16/25 , G06F21/62
摘要: The present disclosure provides a spark query method and system supporting trusted computing. The method comprises receiving a SQL query statement input by a user; performing parsing, logical plan analysis, logical plan optimization and physical plan generation for the SQL query statement; re-implementing an operator in the physical plan by using SGX API, and generating an execution code; invoking an enclave trusted environment to implement trusted computing for the operator, and executing the execution code. Through the present disclosure, safety of data during the calculation is ensured while the query request is processed in parallel through the spark architecture. Moreover, the spark interface provides the user with more available service and is user-friendly.
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公开(公告)号:US11487772B2
公开(公告)日:2022-11-01
申请号:US16727793
申请日:2019-12-26
IPC分类号: G06F16/2458 , G06F16/22 , G06F16/242 , G06F16/2455
摘要: The present disclosure provides a multi-party data joint query method, a device, a server and a storage medium. The multi-party data joint query method executed by a manager includes: analyzing a multi-party joint query sentence to obtain a logical execution plan; processing the logical execution plan according to providers of respective nodes in the logical execution plan to obtain a physical execution plan of each provider; and generating a query instruction of each provider according to the physical execution plan of each provider, and sending the query instruction to respective provider. The query instruction is configured to instruct the providers to perform a query cooperatively.
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公开(公告)号:US11216353B2
公开(公告)日:2022-01-04
申请号:US16106173
申请日:2018-08-21
发明人: Yong Li , Zhi Feng , Zhiqiang Zhang , Haizhu Li , Shun Zhang , Yunzhu Wang
IPC分类号: G06F11/34 , G06F16/904
摘要: A data visual analysis method, system and terminal, and a computer readable storage medium are provided. The method includes: obtaining to-be-analyzed parameters and generating a data analysis model, the data analysis model including a plurality of execution units; the data sources collecting data information related to the to-be-analyzed parameters; the execution units performing analysis on the data information collected by the data sources, to obtain execution results of the execution units; and visually outputting the execution results of the execution units.
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