# Architecture 2PM.Network's architecture is designed as a modular, scalable framework built on blockchain technology to facilitate privacy-preserving computation and data utilization. ### Infrastructure and Framework At its core, the network employs Fully Homomorphic Encryption (FHE) and Federated Learning, enabling secure and private data processing and AI model training. The infrastructure also includes specialized contracts and tools that handle data storage, encryption, and standardization, ensuring data integrity and accessibility. | Solutions | Foundations | 2PM Products | | -------------------------------- | --------------------------------------------------- | ------------------------------ | | Data Storage and Access Solution | 0G Data Availability Layer and ZKPass | 2PM Data VSIES Service and SDK | | Privacy Training Solution | Fully Homomorphic Encryption and Federated Learning | 2PM Node Framework | | Verification Solution | Any Blockchains and Restaking Protocols | 2PM Verification Client | *** ### Ecosystem and Application On the application side, 2PM.Network incorporates APIs for AI inference. It also features an innovative monetization system through the use of Royalty Tokens for each AI subnets, which ensures that contributors to AI subnets are rewarded for their input and efforts. This architecture also facilitates the expansion of the network across various blockchain ecosystems through 2PM DAO, making it robust and adaptable for future growth and integration. | Solutions | Foundations | 2PM Products | | ---------------------------------- | --------------- | --------------------------------------------------------------- | | Inference Solution | Oracles | 2PM Node Server API | | Model IP and Monetization Solution | Story Protocol | AI Model IP Assets / Royalty Token / 2PM Contribution Algorithm | | Expansion and Governance Solution | Any Blockchains | 2PM DAO | --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.2pm.network/overview/architecture.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.