Privacy-enhancing computation is a new breed of technology that enables businesses to process, analyze, and share data without having to expose the underlying data. By 2025, 50% of large organizations will adopt it for processing data in untrusted environments and multi-party data analytics use cases. Differential privacy is gaining considerable traction across industries to solve the data sharing or intellectual property protection problems. It involves sharing information about a dataset while withholding or distorting certain information about individuals or features in the dataset.
Source: https://www.helpnetsecurity.com/2021/07/20/differential-privacy/