Zhize Li

Parameterized Approximation Schemes for Fair Clustering in Doubling Metrics

Fair clustering has garnered considerable attention, with various fairness notions proposed to ensure equitable representation across demographic groups. In this paper, we focus on the k-center problem in bounded doubling metrics under two popular fairness requirements: group fairness and data summarization fairness, r...