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Xiao-Shuai Hao

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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

Aug 2026

Cost-effective and scalable traffic forecasting: A graph-free multi-view MLP architecture.

The Spatio-Temporal Multi-view MLP Network (STMMN), a highly scalable, graph-free computational framework that introduces a temporal multi-view aggregation module that seamlessly integrates distinct temporal branches, to dynamically fuse multi-scale temporal dependencies without relying on exhaustive attention maps.

Guang-Yin Jin, Sicong Lai, Xiao-Shuai Hao et al. · Neural Networks · 0 citations