Fed-SC: One-Shot Federated Subspace Clustering over High-Dimensional Data-Reference-Cited by-同舟云学术

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Fed-SC: One-Shot Federated Subspace Clustering over High-Dimensional Data

Published:2023-04 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 39th International Conference on Data Engineering (ICDE)
language:
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Author:

Xie Songjie¹,Wu Youlong¹,Liao Kewen²,Chen Lu³,Liu Chengfei³,Shen Haifeng²,Tang MingJian⁴,Sun Lu¹

Affiliation:

1. ShanghaiTech University,School of Information Science and Technology,Shanghai,China

2. Australian Catholic University,HilstLab, Peter Faber Business School,Sydney,Australia

3. Swinburne University of Technology,Department of Computing Technologies,Melbourne,Australia

4. Atlassian

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10184508/10184509/10184550.pdf?arnumber=10184550

Reference52 articles.

1. Subspace Clustering

2. High-dimensional data clustering

3. Robust and Efficient Subspace Segmentation via Least Squares Regression

4. Motion segmentation via robust subspace separation in the presence of outlying, incomplete, or corrupted trajectories;rao;IEEE Conference on Computer Vision and Pattern Recognition,2008

5. The laplacian spectrum of graphs;oellermann;Graph Theory c Appl,1991

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