edge intelligence 1federated learning 1multimodal large language models 1parameter-efficient fine-tuning 1personalization 1
From the 1 of 3 linked papers with an AI index.
3 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.CL2025
Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle
Keliang Liu, Dingkang Yang, Ziyun Qian +7
In recent years, training methods centered on Reinforcement Learning (RL) have markedly enhanced the reasoning and alignment performance of Large Language Models (LLMs), particular…
cs.CL2025
MedAide: Information Fusion and Anatomy of Medical Intents via LLM-based Agent Collaboration
Dingkang Yang, Jinjie Wei, Mingcheng Li +8
In healthcare intelligence, the ability to fuse heterogeneous, multi-intent information from diverse clinical sources is fundamental to building reliable decision-making systems. L…