Implementing Differential Privacy at LinkedIn

This chapter explores the integration of differential privacy within LinkedIn's analytics framework, focusing on balancing user anonymity with the provision of aggregate statistics. It discusses the complexities of user-level and event-level privacy, along with the ongoing refinement of algorithms to support practical applications in data analytics. Additionally, the chapter highlights the importance of federated learning and collaborative efforts to advance the understanding and implementation of differential privacy across the tech industry.