Apple today published a paper on its Machine Learning Journal which addressed the topic of differential privacy, and how it can be used to protect user privacy in a time when every business needs to gather increasing amounts of data. This method addressed the fundamental quandary Apple and companies like it face: how to improve user experience, which involves collecting data, without sacrificing privacy. The company proposes the use of local differential privacy, instead of central — in other words, the individual user’s device uses noise to mix up any data before it’s received by a central server. According to the… This story continues at The Next WebOr just read more coverage about: Apple
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