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New Solutions Based on the Generalized Eigenvalue Problem for the Data Collaboration Analysis
April 23, 2024, 4:42 a.m. | Yuta Kawakami, Yuichi Takano, Akira Imakura
cs.LG updates on arXiv.org arxiv.org
Abstract: In recent years, the accumulation of data across various institutions has garnered attention for the technology of confidential data analysis, which improves analytical accuracy by sharing data between multiple institutions while protecting sensitive information. Among these methods, Data Collaboration Analysis (DCA) is noted for its efficiency in terms of computational cost and communication load, facilitating data sharing and analysis across different institutions while safeguarding confidential information. However, existing optimization problems for determining the necessary collaborative …
abstract accuracy analysis arxiv attention collaboration cs.dc cs.lg data data analysis data collaboration eigenvalue generalized information multiple sharing data solutions technology type
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