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Meiyi Ma

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Open access Jul 2026

Formal Logic Inference Guided Uncertainty Quantification for Personalized Federated Learning

LogiCP is a novel FL framework that integrates formal logic reasoning with uncertainty quantification (UQ) to support scalable and personalized learning with theoretical guarantees, achieving up to a 95% improvement in client-level MSE while maintaining strong scalability.

Guocheng He, Ziyan An, Meiyi Ma · 0 citations

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