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Privacy-Preserving Heterogeneous Multi-LLM Federated Inference for Cognitive Diagnosis
Significant challenges remain in AI-driven educational systems in balancing privacy preservation with accurate cognitive diagnosis. To overcome this, we propose a federated inference framework in which several commercial LLM APIs collaborate without requiring access to raw student data or proprietar
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