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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語言: | English |
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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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