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A Concept-Integrated Transformer with LLM-guided concept supervision for explainable prediction from mobile sensing data that shows the clearest difference between high and low negative affect groups in AFFECT and ties for the highest F1 score on AFFECT.
Experimental results show that routing-aware collaboration consistently improves personalized performance compared to conventional federated averaging and local training, while maintaining the same communication cost, and shows that client-centric and expert-centric clustering provides an effective and scalable approac...
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