The proposed data-sharing mechanism can be extended to handle scenarios with more than two distinct user groups by implementing a multi-group data-sharing approach. In this extended scenario, each user group would have its unique set of private and utility features. The data-sharing mechanism would need to be modified to accommodate multiple groups by incorporating additional classifiers for each group's private and utility features. The iterative process of training the privacy mechanisms and generating sanitized data would involve alternating between the different groups, ensuring that each group's data is used to train the privacy mechanism for the other groups. By expanding the data-sharing mechanism to multiple user groups, the privacy and utility tradeoffs can be optimized across a more diverse and complex dataset.