Permissioned Blockchain-based Framework for Ranking Synthetic Data Generators
<|reference_start|>Permissioned Blockchain-based Framework for Ranking Synthetic Data Generators: Synthetic data generation is increasingly recognized as a crucial solution to address data related challenges such as scarcity, bias, and privacy concerns. As synthetic data proliferates, the need for a robust evaluation framework to select a synthetic data generator becomes more pressing given the variety of options available. In this research study, we investigate two primary questions: 1) How can we select the most suitable synthetic data generator from a set of options for a specific purpose? 2) How can we make the selection process more transparent, accountable, and auditable? To address these questions, we introduce a novel approach in which the proposed ranking algorithm is implemented as a smart contract within a permissioned blockchain framework called Sawtooth. Through comprehensive experiments and comparisons with state-of-the-art baseline ranking solutions, our framework demonstrates its effectiveness in providing nuanced rankings that consider both desirable and undesirable properties. Furthermore, our framework serves as a valuable tool for selecting the optimal synthetic data generators for specific needs while ensuring compliance with data protection principles.<|reference_end|>
@article{veeraragavan2024permissioned,
    title={Permissioned Blockchain-based Framework for Ranking Synthetic Data
  Generators},
    author={Narasimha Raghavan Veeraragavan, Mohammad Hossein Tabatabaei, Severin
  Elvatun, Vibeke Binz Vallevik, Siri Lar{o}nningen, Jan F Nyg{aa}rd},
    journal={arXiv preprint arXiv:2405.07196},
    year={2024},
    archivePrefix={arXiv},
    eprint={2405.07196},
    primaryClass={cs.DB cs.CR cs.DC cs.LG}
}