Decentralised, Scalable and Privacy-Preserving Synthetic Data Generation

Synthetic data is emerging as a promising way to harness the value of data, while reducing privacy risks. The potential of synthetic data is not limited to privacy-friendly data release, but also includes complementing real data in use-cases such as training machine learning algorithms that are more...

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Veröffentlicht in:	arXiv.org 2023-10
Hauptverfasser:	Ramesh, Vishal, Zhao, Rui, Goel, Naman
Format:	Artikel
Sprache:	eng
Schlagworte:	Access control Algorithms Cryptography Data storage Decentralization Machine learning Privacy Synthetic data Trustworthiness
Online-Zugang:	Volltext
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