A distributed reasoning federation cooperation system based on separation of control plane and data plane

By establishing a distributed inference consortium collaboration system based on the separation of the control plane and the data plane, the problems of data privacy protection and low collaboration efficiency in distributed artificial intelligence are solved, and efficient cross-institutional data collaboration and secure data access control are achieved.

CN122241767APending Publication Date: 2026-06-19SUZHOU ABYSS MATRIX TECHNOLOGY CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
SUZHOU ABYSS MATRIX TECHNOLOGY CO LTD
Filing Date
2026-04-07
Publication Date
2026-06-19

AI Technical Summary

⚠Technical Problem

Existing technologies in distributed artificial intelligence and privacy computing suffer from problems such as coarse security granularity, disconnect between static trust and dynamic behavior, poor compatibility with heterogeneous data, and lack of mandatory control over the data surface, resulting in low efficiency in data privacy protection and collaboration.

⚗Method used

A distributed inference alliance collaboration system based on the separation of control plane and data plane is adopted. Through modules such as node registration and measurement, task parsing and orchestration, compatibility analysis and reorganization, remote proof and credential binding, sandbox execution and mandatory verification, trusted transmission and inference calculation, result summary and aggregation feedback, it realizes precise binding and fine-grained control from static code measurement to dynamic data flow.

🎯Benefits of technology

It enables efficient cross-institutional data collaboration and inference computation while protecting data privacy, ensuring strict constraints on data access scope and secure transmission, and improving system security and collaboration efficiency.

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Abstract

This invention discloses a distributed reasoning consortium collaboration system based on the separation of the control plane and data plane. By constructing a closed-loop "orchestration-proof-execution" end-to-end mechanism, it solves the problem of the disconnect between "trustworthy node identity" and "controllable data behavior" in existing technologies. The innovation lies in: the coordination layer dynamically inserts transformation operators based on the schema compatibility analysis of the task flow DAG, and hashes the data access scope constraints after operator reorganization with the MRENCLAVE metric value of the SGX remote proof report to generate fine-grained connection credentials; the secure execution agent registers callback hooks at the SGX Enclave exit point, and performs mandatory verification of data output based on the constraints in the credentials. This achieves precise permission binding from "static code measurement" to "dynamic data flow."
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