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Research questionHow can collaborative learning preserve graph structure when graph data are distributed across agents?Graph learning depends on relationships among entities, but collaborative settings distribute data across agents and introduce statistical heterogeneity. Coordinating information exchange over those relationships while maintaining effectiveness, efficiency, and privacy remains difficult.
AI
Machine Learning
Multi-agent Systems
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Latest papersRecent research connected to this question, newest first.From Euclidean to Graph-Structured Data: A Survey of Collaborative LearningApplies to settings where individual agents train and perform inference locally with limited collaboration. The source surveys graph-distribution scenarios, formulations, and algorithmic frameworks rather than specifying one deployment, graph partition, or access protocol.research paper · Sep 2, 2026
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