This standard defines a comprehensive framework for federated machine learning of semantic information agents. It targets two primary layers: • Information Protocol Layer: This layer focuses on binary compression and protocol-level data structures for federated information exchange, with an emphasis on efficiency and security. • Semantic Layer: This layer focuses on the meaning and interpretation of information through domain-specific languages (DSLs) that are human-understandable. The standard also provides rule-based guidance and optimization strategies for different nodes within federated learning networks, addressing role definitions for agents, reward mechanisms, and multi-agent system regulations.
- Sponsor Committee
- C/AISC - Artificial Intelligence Standards Committee
- Status
- Active PAR
- PAR Approval
- 2023-12-06
Working Group Details
- Society
- IEEE Computer Society
Learn More About IEEE Computer Society - Sponsor Committee
- C/AISC - Artificial Intelligence Standards Committee
- Working Group
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FML-SIA - Federated Machine Learning of Semantic Information Agents
- IEEE Program Manager
- Christy Bahn
Contact Christy Bahn - Working Group Chair
- Zuping Wu
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