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Fed-Equilibrium Framework for Topological Pareto Control in Robust and Fair Clinical Federated Learning
The deployment of Federated Learning (FL) in multi-center clinical networks faces the challenge of "knowledge dominance," where high-volume hubs naturally overwhelm minority community nodes, implicitly treating the distinct clinical patterns of smaller cohorts as outliers. Existing geometric defense
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