# 2.4 Model layers BDCP is based on distributed machine learning and provides opportunities to generate more value for user data while ensuring data privacy and security. The BDCP model layer is the core technology for protecting the privacy of multiple users in a distributed network of computations. Personal information is used in various models provided by distributed machine learning to realize personal digital value. At the same time, BDCP is highly scalable. In the future, it can serve the blockchain ecosystem by providing fast access to other publicly linked data through various cross-chain protocols. --- # 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://bayesians.gitbook.io/bayesian/architecture/2.4-model-layers.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.