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Coresets for vertical federated learning: Regularized linear regression and k-means clustering

Vertical federated learning (VFL), where data features are stored in multiple parties distributively, is an important area in machine learning. However, the communication complexity for VFL is typically very high. In this paper, we propose a unified framework by constructing coresets in a distribute...

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Main Authors: HUANG, Lingxiao, LI, Zhize, SUN, Jialin, ZHAO, Haoyu
格式: text
語言:English
出版: Institutional Knowledge at Singapore Management University 2022
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在線閱讀:https://ink.library.smu.edu.sg/sis_research/8686
https://ink.library.smu.edu.sg/context/sis_research/article/9689/viewcontent/NeurIPS22_full_coresetvfl.pdf
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