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PFAdapter: Hierarchical LoRA Decomposition for Personalized Federated MLLMs

The authors present a hierarchical LoRA decomposition technique designed to facilitate personalized federated fine-tuning of multimodal large language models on edge devices.

Impact
30/100
Current rank score
2.2
Source tier
Tier 1
Category
Research
Read the full story at arxiv.org

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