Author

Kun Yang

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#artificial intelligence Jul 2026

PFAdapter: Hierarchical LoRA Decomposition for Personalized Federated MLLMs

PFAdapter is proposed, a communication-efficient framework introducing hierarchical LoRA decomposition to explicitly separate adapter parameters into global-shared and local-private components, establishing an efficient solution for agentic AI deployment in resource-constrained communication networks.

Jing Liu, Kun Yang, Yan Wang et al. · arXiv.org · 0 citations