@inproceedings{1e6eaff9c28740e3bac0a8efe44686f8,
title = "Byzantine Resilient Distributed Clustering with Redundant Data Assignment",
abstract = "In this paper, we present robust variants of distributed clustering algorithms for large datasets distributed across multiple machines in the presence of Byzantines. We propose a redundant data assignment scheme that enables us to obtain global information about the entire dataset for clustering purposes even when some machines are adversarial in nature. Simulation results show that the distributed algorithms based on the proposed assignment scheme provide good-quality solutions for a variety of clustering problems.",
author = "Saikiran Bulusu and Venkata Gandikota and Arya Mazumdar and Rawat, {Ankit Singh} and Varshney, {Pramod K.}",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 2021 IEEE International Symposium on Information Theory, ISIT 2021 ; Conference date: 12-07-2021 Through 20-07-2021",
year = "2021",
month = jul,
day = "12",
doi = "10.1109/ISIT45174.2021.9517819",
language = "English (US)",
series = "IEEE International Symposium on Information Theory - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "2143--2148",
booktitle = "2021 IEEE International Symposium on Information Theory, ISIT 2021 - Proceedings",
}