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Released: 07.03.2025
IEEE 3117-2024
IEEE Standard for Interworking Framework for Privacy-Preserving Computation
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Standard number: | IEEE 3117-2024 |
Released: | 07.03.2025 |
ISBN: | 979-8-8557-1847-8 |
Pages: | 34 |
Status: | Active |
Language: | English |
DESCRIPTION
IEEE 3117-2024
This standard establishes the technical framework based on privacy computing interworking and defines the functions of nodes, resources, algorithm components and other parts needed to realize the interworking between different privacy computing platforms. This standard applies to the design, development, testing, and maintenance of cross-platform privacy computing platforms under secure multi-party computation and federated learning (FL) technology pathways.With the development of privacy computing technology, more and more technology service manufacturers have developed their own privacy computing platforms, either to serve their own ecology, to serve market institutions, or to serve government agencies, connecting the data islands that originally existed independently, and realizing “data is available but invisible.” However, because different privacy computing platforms are based on the algorithm principle and system design of their own intellectual property rights, and currently there are mostly closed source platforms, the original information interaction between platforms cannot be completed, turning “data island” into “computing island”. For data providers and data application agencies, they often need to deploy different privacy computing platforms when cooperating with different customers, resulting in serious waste of system construction and operation costs. Therefore, “interworking” has become a new challenge for privacy computing. The purpose of interworking is to carry out task coordination without exposing the internal design details of the platform and without being affected by the update, upgrade, and expansion of the platform itself. Privacy computing technology platforms with different system architectures or function implementation schemes (including different versions of the same platform) realize cross-platform interaction and collaboration of data, algorithms, and computing power through unified and standardized interfaces and protocols, to support users deploying products of different technology platforms to jointly complete the same privacy computing task.
New IEEE Standard - Active. A basic architecture of privacy-preserving computation interworking framework is specified in this standard. The specifications for node interworking, resource interworking, and algorithm component interworking are defined.