Balancing Privacy and Utility Tradeoffs for Distinct User Groups Through Collaborative Data Sanitization

The core message of this paper is to introduce a novel problem formulation and a data sharing mechanism that enables highly accurate predictions of utility features while simultaneously safeguarding the privacy of distinct user groups, without relying on auxiliary datasets or manual data annotations.