edge intelligence 1federated learning 1multimodal large language models 1parameter-efficient fine-tuning 1personalization 1
From the 1 of 2 linked papers with an AI index.
2 papers
cs.LG2026
PFAdapter: Hierarchical LoRA Decomposition for Personalized Federated MLLMs
Jing Liu, Kun Yang, Yan Wang +5
The paper introduces PFAdapter, a framework that uses hierarchical LoRA decomposition to split adapter parameters into globally shared and locally private parts, enabling efficient…
cs.DC2026
Edge-Cloud Collaborative Computing on Distributed Intelligence and Model Optimization: A Survey
Jing Liu, Yao Du, Kun Yang +8
Edge-cloud collaborative computing (ECCC) has emerged as a pivotal paradigm for addressing the computational demands of modern intelligent applications, integrating cloud resources…