- 专利标题: Federated learning system and method for detecting financial crime behavior across participating entities
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申请号: US17020496申请日: 2020-09-14
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公开(公告)号: US12045716B2公开(公告)日: 2024-07-23
- 发明人: Justin Bercich , Theresa Bercich , Gudmundur Runar Kristjansson , Anush Vasudevan
- 申请人: Lucinity ehf
- 申请人地址: IS Reykjavik
- 专利权人: Lucinity ehf
- 当前专利权人: Lucinity ehf
- 当前专利权人地址: IS Reykjavik
- 代理机构: Lewis Rice LLC
- 主分类号: G06N3/08
- IPC分类号: G06N3/08 ; G06N3/045 ; G06Q30/018 ; G06Q40/02 ; G06Q50/26
摘要:
A method of updating a first neural network is disclosed. The method includes providing a computer system with a computer-readable memory that stores specific computer-executable instructions for the first neural network and a second neural network separate from the first neural network. The method also includes providing one or more processors in communication with the computer-readable memory. The one or more processors are programmed by the computer-executable instructions to at least process a first data with the first neural network, process a second data with the second neural network, update a weight in a node of the second neural network by a delta amount as a function of the processing of the second data with the second neural network, and update a weight in a node of the first neural network as a function of the delta amount. A computer system for updating a first neural network is also disclosed. Other features of the preferred embodiments are also disclosed.
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