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Venusia whitepaper
Venusia whitepaper

Venusia: An NFT Marketplace for Models and Content Creators

The Venusia white paper was written and released by the Venusia core team at the end of 2025, in response to challenges faced in the field of decentralized data storage and privacy computing, aiming to propose an innovative solution to address the limitations of existing systems.

The theme of Venusia's white paper is "Venusia: A Next-Generation Decentralized Data Collaboration and Privacy Computing Platform." What makes Venusia unique is its proposed integrated architecture of "federated learning + zero-knowledge proofs + distributed ledger" to enable secure sharing and efficient utilization of data value. The significance of Venusia lies in providing a trustworthy infrastructure for multi-party data collaboration, which is expected to significantly enhance data privacy protection and reduce the effects of data silos.

Venusia's original intention is to build an open, secure, and efficient data value network. The core viewpoint presented in the Venusia white paper is that by combining advanced cryptographic technologies with distributed system design, it is possible to achieve cross-institutional and cross-domain collaborative data computing while ensuring data sovereignty and privacy, thereby unlocking the potential value of data.

Interested researchers can access the original Venusia whitepaper. Venusia whitepaper link: https://www.venusia.io/whitepaper.pdf

Venusia whitepaper summary

Author: Lars Holmstrom
Last updated: 2026-01-08 09:50
The following is a summary of the Venusia whitepaper, expressed in simple terms to help you quickly understand the Venusia whitepaper and gain a clearer understanding of Venusia.
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Disclaimer: The above interpretations are the author's personal opinions. Please verify the accuracy of all information independently. These interpretations do not represent the platform's views and are not intended as investment advice. For more details about the project, please refer to its whitepaper.

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