Privacy-Preserving Technologies for Data Access and Machine Learning

The chapter delves into Uber's dilemma around improving business using data access while maintaining privacy, presenting Private SQL from Oasis Labs as a solution. It explains how Private SQL enables differential privacy mechanisms for data analysts, simplifying deployment and enabling data usage without expertise in privacy. The chapter also explores federated learning, decentralized intelligence, responsible data use, and the CoLink initiative for creating privacy-preserving technologies in a responsible data economy.

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