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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Bibliographic Details
Main Authors: HUANG, Lingxiao, LI, Zhize, SUN, Jialin, ZHAO, Haoyu
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2022
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Online Access: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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Institution: Singapore Management University
Language: English
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