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Xiong Wang

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Conference Open access 2026

Federated LoRA Fine-Tuning with Pipelined Error-Mitigated Aggregation and Matrix-Wise Freezing

iFLoRA is proposed, an improved Federated LoRA fine-tuning system for LLMs featuring pipelined error-mitigated model aggregation and adaptive matrix-wise parameter freezing and can improve time-to-target by 2.17-8.48 × than state-of-the-art methods.

Haoran Wang, Xiong Wang, Yuqing Li et al. · 1 citation