10 citations · 16 across the 4 of their papers we have counts for
4 papers · 1 filter
Data Collaboration Analysis applied to Compound Datasets and the Introduction of Projection data to Non-IID settings
Akihiro Mizoguchi, Anna Bogdanova, Akira Imakura +1
Given the time and expense associated with bringing a drug to market, numerous studies have been conducted to predict the properties of compounds based on their structure using mac…
Achieving Transparency in Distributed Machine Learning with Explainable Data Collaboration
Anna Bogdanova, Akira Imakura, Tetsuya Sakurai +3
Transparency of Machine Learning models used for decision support in various industries becomes essential for ensuring their ethical use. To that end, feature attribution methods s…
Accuracy and Privacy Evaluations of Collaborative Data Analysis
Akira Imakura, Anna Bogdanova, Takaya Yamazoe +2
Distributed data analysis without revealing the individual data has recently attracted significant attention in several applications. A collaborative data analysis through sharing…
Federated Learning System without Model Sharing through Integration of Dimensional Reduced Data Representations
Anna Bogdanova, Akie Nakai, Yukihiko Okada +2
Dimensionality Reduction is a commonly used element in a machine learning pipeline that helps to extract important features from high-dimensional data. In this work, we explore an…