Privacy-Preserving Heterogeneous Multi-LLM Federated Inference for Cognitive Diagnosis
This work proposes a federated inference framework in which several commercial LLM APIs collaborate without requiring access to raw student data or proprietary model internals, and conducts rigorous privacy-utility analysis showing strong privacy guarantees with minimal accuracy loss.
Yagna Manasa Boyapati, Chong Yu, Tian-Yu Jiang et al.
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