NeurIPS 2022accept14 citations
Efficient and Stable Fully Dynamic Facility Location
Sayan Bhattacharya, Silvio Lattanzi, Nikos Parotsidis
Abstract
We consider the classic facility location problem in fully dynamic data streams, where elements can be both inserted and deleted. In this problem, one is interested in maintaining a stable and high quality solution throughout the data stream while using only little time per update (insertion or deletion). We study the problem and provide the first algorithm that at the same time maintains a constant approximation and incurs polylogarithmic amortized recourse per update. We complement our theoretical results with an experimental analysis showing the practical efficiency of our method.
ClusteringFacility LocationDynamic AlgorithmsConsistentRecourseApproximation
BibTeX
@inproceedings{
bhattacharya2022efficient,
title={Efficient and Stable Fully Dynamic Facility Location},
author={Sayan Bhattacharya and Silvio Lattanzi and Nikos Parotsidis},
booktitle={Advances in Neural Information Processing Systems},
editor={Alice H. Oh and Alekh Agarwal and Danielle Belgrave and Kyunghyun Cho},
year={2022},
url={https://openreview.net/forum?id=aqALH2UAwQH}
}