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US09246978B2 Method for determining hidden states of systems using privacy-preserving distributed data analytics 有权
使用隐私保护分布式数据分析确定系统的隐藏状态的方法

Method for determining hidden states of systems using privacy-preserving distributed data analytics
Abstract:
A method classifies data to determine hidden states of a system, by first randomly permuting the data and inserting client to generate private data. A server classifies the private data according to a hidden Markov model (HMM) to obtain permuted noisy estimates of the states and the chaff, which are returned to the client. The client then removes the chaff, inverts the permuted noisy estimates to obtain unpermuted noisy estimates of the states.
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