Privacy-preserving computation refers to techniques and methods that allow for the processing of data while ensuring the confidentiality and privacy of the information involved. This is particularly important in contexts where sensitive data is utilized, as it enables organizations and individuals to perform computations without exposing private information. These techniques balance the need for data analysis with the imperative of maintaining users' privacy and confidentiality.
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