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Ting-Qi Wang

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#artificial intelligence Preprint Sep 2026

Task-Aware Federated Fine-Tuning for MoE-based Large Language Models

FedTAR is proposed, a task-aware federated fine-tuning method for MoE-based LLMs that establishes the association between local updates and task preference via routing outputs and preserves expert specialization and mitigates destructive interference among heterogeneous clients.

Ting-Qi Wang, Hongyu Ke, Hao-Xin Wang et al. · 0 citations