@inproceedings{gadekar2025fair,
author = {Gadekar, Ameet and Gionis, Aristides and Thejaswi, Suhas},
title = {Fair Clustering for Data Summarization: Improved Approximation Algorithms and Complexity Insights},
year = {2025},
isbn = {9798400712746},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3696410.3714857},
doi = {10.1145/3696410.3714857},
booktitle = {Proceedings of the ACM on Web Conference 2025},
pages = {4458–4469},
numpages = {12},
keywords = {algorithmic bias, algorithmic fairness, fair clustering, fair k-center, fair k-supplier, responsible computing},
location = {Sydney NSW, Australia},
series = {WWW '25}
}