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Zhi-Hao Zeng

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Conference Open access Aug 2026

Accelerating Federated LoRA Fine-Tuning for LLMs with Adaptive Ranks at Network Edge

FLFAR reduces federated LoRA fine-tuning time by up to 40% while maintaining comparable accuracy, and at the beginning of each global round, the LoRA rank of each device is adapted according to its computational and communication capacity.

Zhi-Hao Zeng, Yu-Xiang Lu, Xiao-Ning Zhang et al. · 0 citations

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