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Gradient-based federated Bayesian optimization
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AI
DOI：10.1016/j.knosys.2025.114588.png)
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Abstract
En 中文
• Aggregating local acquisition gradients globally without raw data sharing, ensuring privacy. • Grouping agents via Location Square Deviation (LSD) vectors for data-homogeneous clusters. • Global candidate selection via aggregated gradients + local agent-specific solution refinement.
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K
IF:
7.6
Papers:
1.2W
Citations:
4.5W