MURIM: Multidimensional Reputation-based Incentive Mechanism for Federated Learning
Published:Dec 15, 2025 23:18
•1 min read
•ArXiv
Analysis
This article introduces MURIM, a novel incentive mechanism for federated learning. The focus is on reputation, suggesting a system designed to encourage participation and collaboration in a distributed learning environment. The multidimensional aspect likely refers to considering various factors when assessing reputation, potentially including data quality, contribution frequency, and model performance. The use of 'ArXiv' as the source indicates this is a pre-print research paper, meaning it's likely a new and potentially unreviewed work.
Key Takeaways
Reference
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