We propose a blockchain-based approach to assess the quality of data that are not independent and identically distributed (non-IID).
We propose a blockchain-based approach to assess the quality of data that are not independent and identically distributed (non-IID).
The research presents the Data Quality Funnel Model to improve business decision-making and flexibility, by making data more accurate, reliable, and valuable ...
Abstract—Data quality assessment is critical for distributed machine learning (DML). Data collected from heterogeneous. Internet of things (IoT) devices may ...
In this paper, we propose a new federated learning scheme based on blockchain architecture for federated learning data sharing.
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Data preparation. For both datasets, we perform data analysis and data curation, including an assessment of the distribution of the target variable, dummy ...
This paper proposes a multi-source heterogeneous blockchain data quality assessment method for enterprise business activities, aiming at the problems that most ...
Blockchain-based Data Quality Assessment to Improve Distributed Machine Learning. In Proceedings of the International Conference on Computing, Networking and ...
In federated learning, each user builds an individual distributed model to help a central server that is accessible only to a trusted user group. This paper ...
Blockchain and machine learning technology are the most important two technologies that help to develop organizational performance in the marketplace.
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