This standard establishes a comprehensive framework for federated machine learning (FML) systems of semantic information agents (SIAs), addressing critical needs for efficiency, security, and human comprehension in SIAs environments. By systematically addressing agent formation through FML, including user roles for SIAs and reward mechanisms, the semantic knowledge base is built and data transmission efficiency of SIAs is enhanced. The proposed architecture comprises two primary layers: an information protocol layer that provides mechanisms to support secure and efficient data compression and transmission protocols for SIA interactions; and a semantic layer utilizing a Domain Specific Language (DSL) to maintain information readability among agents.
- Standard Committee
- C/AISC - Artificial Intelligence Standards Committee
- Status
- Active PAR
- PAR Approval
- 2023-12-06
Working Group Details
- Society
- IEEE Computer Society
- Standard Committee
- C/AISC - Artificial Intelligence Standards Committee
- Working Group
-
3427 - Federated Machine Learning of Semantic Information Agents
- IEEE Program Manager
- Christy Bahn
Contact Christy Bahn - Working Group Chair
- Zuping Wu
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