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Patent Agency Ranking
公开(公告)号：US12198029B2
公开(公告)日：2025-01-14
申请号：US17210216
申请日：2021-03-23
Inventor： Chuanyuan Song , Zhi Feng , Liangliang Lyu
Abstract: The present disclosure provides a joint training method and apparatus for models, a device and a storage medium. The method may include: training a first-party model to be trained using a first sample quantity of first-party training samples to obtain first-party feature gradient information; acquiring second-party feature gradient information and second sample quantity information from a second party, where the second-party feature gradient information is obtained by training, by the second party, a second-party model to be trained using a second sample quantity of second-party training samples; and determining model joint gradient information according to the first-party feature gradient information, the second-party feature gradient information, first sample quantity information and the second sample quantity information, and updating the first-party model and the second-party model according to the model joint gradient information.
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公开(公告)号：US12204551B2
公开(公告)日：2025-01-21
申请号：US17249939
申请日：2021-03-19
Inventor： Ji Liu , Haoyi Xiong , Dejing Dou , Siyu Huang , Jizhou Huang , Zhi Feng , Haozhe An
IPC: G06F16/24 , G06F16/2458 , G06F21/53
Abstract: Embodiments of the present disclosure provide a data mining system, a data mining method, and a storage medium. The data mining system includes a transfer device, a first trusted execution space and a second trusted execution space. The transfer device is configured to receive a data calling request of the second trusted execution space, obtain data to be called from the first trusted execution space according to the data calling request, and provide the data to be called to the second trusted execution space, so as to perform data mining based on the data to be called and the mining-related data to obtain a data mining result and to provide the data mining result to a device of the data user.
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公开(公告)号：US20210234689A1
公开(公告)日：2021-07-29
申请号：US17210305
申请日：2021-03-23
Inventor： Chuanyuan Song , Zhi Feng , Liangliang Lv
Abstract: A method and apparatus for obtaining a privacy set intersection are provided. The method may include: encrypting a privacy set of an intersection initiator by using a homomorphic encryption algorithm to generate a cipher text, a cipher text function, a public key, and a private key of the intersection initiator; delivering the cipher text, the cipher text function, and the public key of the intersection initiator to an intersection server; receiving a to-be-decrypted function value of a privacy set of the intersection server from the intersection server; and decrypting the to-be-decrypted function value of the privacy set of the intersection initiator by using the private key, to obtain an intersection element of the privacy set of the intersection initiator and the privacy set of the intersection server.
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公开(公告)号：US11509474B2
公开(公告)日：2022-11-22
申请号：US17210305
申请日：2021-03-23
Inventor： Chuanyuan Song , Zhi Feng , Liangliang Lv
Abstract: A method and apparatus for obtaining a privacy set intersection are provided. The method may include: encrypting a privacy set of an intersection initiator by using a homomorphic encryption algorithm to generate a cipher text, a cipher text function, a public key, and a private key of the intersection initiator; delivering the cipher text, the cipher text function, and the public key of the intersection initiator to an intersection server; receiving a to-be-decrypted function value of a privacy set of the intersection server from the intersection server; and decrypting the to-be-decrypted function value of the privacy set of the intersection initiator by using the private key, to obtain an intersection element of the privacy set of the intersection initiator and the privacy set of the intersection server.
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公开(公告)号：US20210209515A1
公开(公告)日：2021-07-08
申请号：US17210216
申请日：2021-03-23
Inventor： Chuanyuan Song , Zhi Feng , Liangliang Lyu
Abstract: The present disclosure provides a joint training method and apparatus for models, a device and a storage medium. The method may include: training a first-party model to be trained using a first sample quantity of first-party training samples to obtain first-party feature gradient information; acquiring second-party feature gradient information and second sample quantity information from a second party, where the second-party feature gradient information is obtained by training, by the second party, a second-party model to be trained using a second sample quantity of second-party training samples; and determining model joint gradient information according to the first-party feature gradient information, the second-party feature gradient information, first sample quantity information and the second sample quantity information, and updating the first-party model and the second-party model according to the model joint gradient information.
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