Pushing Large Language Models to the 6G Edge: Vision, Challenges, and Opportunities

28 September 2023

Papers citing "Pushing Large Language Models to the 6G Edge: Vision, Challenges, and Opportunities"

48 / 48 papers shown

Title
Towards Artificial General or Personalized Intelligence? A Survey on Foundation Models for Personalized Federated Intelligence Yu Qiao Huy Q. Le Avi Deb Raha Phuong-Nam Tran Apurba Adhikary Mengchun Zhang Loc X. Nguyen Eui-nam Huh Dusit Niyato Choong Seon Hong AI4CE 36 0 0 11 May 2025
HSplitLoRA: A Heterogeneous Split Parameter-Efficient Fine-Tuning Framework for Large Language Models Zheng Lin Yuxin Zhang Zhe Chen Zihan Fang Xianhao Chen Praneeth Vepakomma Wei Ni Jun Luo Yue Gao MoE 49 2 0 05 May 2025
Edge-Cloud Collaborative Computing on Distributed Intelligence and Model Optimization: A Survey Jing Liu Yao Du Kun Yang Yan Wang Xiping Hu Zehua Wang Yang Liu Peng Sun Azzedine Boukerche Victor C.M. Leung 43 0 0 03 May 2025
LLM-Enabled In-Context Learning for Data Collection Scheduling in UAV-assisted Sensor Networks Yousef Emami Hao Gao SeyedSina Nabavirazani Luis Almeida 40 0 0 20 Apr 2025
SFL-LEO: Asynchronous Split-Federated Learning Design for LEO Satellite-Ground Network Framework Jiasheng Wu Jingjing Zhang Zheng Lin Zhe Chen Xiong Wang Wenjun Zhu Yue Gao FedML 41 0 0 18 Apr 2025
The Future of Internet of Things and Multimodal Language Models in 6G Networks: Opportunities and Challenges Abdelrahman Soliman 26 0 0 17 Apr 2025
Integrated LLM-Based Intrusion Detection with Secure Slicing xApp for Securing O-RAN-Enabled Wireless Network Deployments Joshua Moore Aly Sabri Abdalla Prabesh Khanal Vuk Marojevic 52 0 0 01 Apr 2025
Task-Aware Parameter-Efficient Fine-Tuning of Large Pre-Trained Models at the Edge Senkang Hu Yanan Ma Yihang Tao Zhengru Fang Zihan Fang Yiqin Deng Sam Kwong Yuguang Fang 28 0 0 29 Mar 2025
PartialLoading: User Scheduling and Bandwidth Allocation for Parameter-sharing Edge Inference Guanqiao Qu Qian Chen Xianhao Chen Kaibin Huang Yuguang Fang 46 1 0 29 Mar 2025
State-Aware Perturbation Optimization for Robust Deep Reinforcement Learning Zongyuan Zhang Tianyang Duan Zheng Lin Dong Huang Zihan Fang Zekai Sun Ling Xiong Hongbin Liang Heming Cui Yong Cui AAML 90 1 0 26 Mar 2025
SplitFrozen: Split Learning with Device-side Model Frozen for Fine-Tuning LLM on Heterogeneous Resource-Constrained Devices Jian Ma Xinchen Lyu Jun Jiang Qimei Cui Haipeng Yao Xiaofeng Tao 53 0 0 23 Mar 2025
Adaptive Orchestration for Inference of Large Foundation Models at the Edge Fernando Koch Aladin Djuhera Alecio Binotto 34 0 0 19 Mar 2025
Vision-Language Models for Edge Networks: A Comprehensive Survey Ahmed Sharshar Latif U. Khan Waseem Ullah Mohsen Guizani VLM 70 3 0 11 Feb 2025
A Contemporary Survey of Large Language Model Assisted Program Analysis Jiayimei Wang Tao Ni Wei-Bin Lee Qingchuan Zhao 49 5 0 05 Feb 2025
Rethinking Membership Inference Attacks Against Transfer Learning Yanwei Yue Jing Chen Qianru Fang Kun He Ziming Zhao Hao Ren Guowen Xu Yang Liu Yang Xiang 66 34 0 20 Jan 2025
Secure Resource Allocation via Constrained Deep Reinforcement Learning Jianfei Sun Qiang Gao Cong Wu Yuxian Li Jiacheng Wang Dusit Niyato 56 1 0 20 Jan 2025
Integrating LLMs with ITS: Recent Advances, Potentials, Challenges, and Future Directions Doaa Mahmud Hadeel Hajmohamed Shamma Almentheri Shamma Alqaydi Lameya Aldhaheri R. A. Khalil Nasir Saeed AI4TS 51 5 0 08 Jan 2025
A Comprehensive Survey of Large Language Models and Multimodal Large Language Models in Medicine Hanguang Xiao Feizhong Zhou Xianglong Liu Tianqi Liu Zhipeng Li Xin Liu Xiaoxuan Huang AILaw LM&MA LRM 61 19 0 31 Dec 2024
DynaShard: Secure and Adaptive Blockchain Sharding Protocol with Hybrid Consensus and Dynamic Shard Management Ao Liu Jing Chen Kun He Ruiying Du Jiahua Xu Yanwei Yue Yebo Feng Teng Li Jianfeng Ma 75 3 0 11 Nov 2024
Tracing Human Stress from Physiological Signals using UWB Radar Jia Xu Teng Xiao Pin Lv Ziyang Chen Chao Cai Yang Zhang Zehui Xiong 47 1 0 14 Oct 2024
t-READi: Transformer-Powered Robust and Efficient Multimodal Inference for Autonomous Driving Pengfei Hu Yuhang Qian Tianyue Zheng Ang Li Zhe Chen Yue Gao Xiuzhen Cheng Jun Luo 26 0 0 13 Oct 2024
Channel-Aware Throughput Maximization for Cooperative Data Fusion in CAV Haonan An Zhengru Fang Yuang Zhang Senkang Hu Xianhao Chen Guowen Xu Yuguang Fang 152 1 0 06 Oct 2024
An Efficient Privacy-aware Split Learning Framework for Satellite Communications Jianfei Sun Cong Wu Shahid Mumtaz Junyi Tao Mingsheng Cao Mei Wang Valerio Frascolla 42 5 0 13 Sep 2024
Privacy-preserving Universal Adversarial Defense for Black-box Models Qiao Li Yanwei Yue Jing Chen Zijun Zhang Kun He Ruiying Du Xinxin Wang Qingchuang Zhao Yang Liu AAML 66 6 0 20 Aug 2024
AgentsCoMerge: Large Language Model Empowered Collaborative Decision Making for Ramp Merging Senkang Hu Zhengru Fang Zihan Fang Yiqin Deng Xianhao Chen Yuguang Fang Sam Kwong 54 14 0 07 Aug 2024
Pathway to Secure and Trustworthy ZSM for LLMs: Attacks, Defense, and Opportunities Yangzhen Wu P. Khuwaja K. Dev H. A. Hamadi Yiming Yang 43 1 0 01 Aug 2024
Large Language Models (LLMs) for Semantic Communication in Edge-based IoT Networks Alakesh Kalita 29 4 0 30 Jul 2024
Mobile Edge Intelligence for Large Language Models: A Contemporary Survey Guanqiao Qu Qiyuan Chen Wei Wei Zheng Lin Xianhao Chen Kaibin Huang 42 43 0 09 Jul 2024
Leveraging Large Language Models for Integrated Satellite-Aerial-Terrestrial Networks: Recent Advances and Future Directions Shumaila Javaid R. A. Khalil Nasir Saeed Bin He Mohamed-Slim Alouini 41 9 0 05 Jul 2024
SplitLoRA: A Split Parameter-Efficient Fine-Tuning Framework for Large Language Models Zheng Lin Xuanjie Hu Yuxin Zhang Zhe Chen Zihan Fang Xianhao Chen Ang Li Praneeth Vepakomma Yue Gao 41 31 0 01 Jul 2024
Hurry: Dynamic Collaborative Framework For Low-orbit Mega-Constellation Data Downloading Handong Luo Wenhao Liu Qi Zhang Ziheng Yang Quanwei Lin Wenjun Zhu Kun Qiu Zhe Chen Yue Gao 39 1 0 05 Jun 2024
Adaptive Layer Splitting for Wireless LLM Inference in Edge Computing: A Model-Based Reinforcement Learning Approach Yuxuan Chen Rongpeng Li Xiaoxue Yu Zhifeng Zhao Honggang Zhang 42 9 0 03 Jun 2024
SATSense: Multi-Satellite Collaborative Framework for Spectrum Sensing Haoxuan Yuan Zhe Chen Zheng Lin Jinbo Peng Zihan Fang Yuhang Zhong Zihang Song Yue Gao 34 12 0 24 May 2024
PerLLM: Personalized Inference Scheduling with Edge-Cloud Collaboration for Diverse LLM Services Zheming Yang Yuanhao Yang Chang Zhao Qi Guo Wenkai He Wen Ji 53 13 0 23 May 2024
Large Language Model (LLM) for Telecommunications: A Comprehensive Survey on Principles, Key Techniques, and Opportunities Hao Zhou Chengming Hu Ye Yuan Yufei Cui Yili Jin ... Di Wu Xue Liu Charlie Zhang Xianbin Wang Jiangchuan Liu 35 59 0 17 May 2024
An Overview of Machine Learning-Enabled Optimization for Reconfigurable Intelligent Surfaces-Aided 6G Networks: From Reinforcement Learning to Large Language Models Hao Zhou Chengming Hu Xue Liu AI4CE 41 0 0 09 May 2024
TrimCaching: Parameter-sharing AI Model Caching in Wireless Edge Networks Guanqiao Qu Zhengyi Lin Fangming Liu Xianhao Chen Kaibin Huang 54 16 0 07 May 2024
Large Language Models for UAVs: Current State and Pathways to the Future Shumaila Javaid Nasir Saeed Bin He 40 17 0 02 May 2024
AgentsCoDriver: Large Language Model Empowered Collaborative Driving with Lifelong Learning Senkang Hu Zhengru Fang Zihan Fang Yiqin Deng Xianhao Chen Yuguang Fang 60 33 0 09 Apr 2024
FedAC: An Adaptive Clustered Federated Learning Framework for Heterogeneous Data Yuxin Zhang Haoyu Chen Zheng Lin Zhe Chen Jin Zhao FedML 38 21 0 25 Mar 2024
AdaptSFL: Adaptive Split Federated Learning in Resource-constrained Edge Networks Zhengyi Lin Guanqiao Qu Wei Wei Xianhao Chen Kin K. Leung 56 48 0 19 Mar 2024
NoMAD-Attention: Efficient LLM Inference on CPUs Through Multiply-add-free Attention Tianyi Zhang Jonah Yi Bowen Yao Zhaozhuo Xu Anshumali Shrivastava MQ 27 6 0 02 Mar 2024
When Large Language Model Agents Meet 6G Networks: Perception, Grounding, and Alignment Minrui Xu Dusit Niyato Jiawen Kang Zehui Xiong Shiwen Mao Zhu Han Dong In Kim K. B. Letaief LLMAG 41 32 0 15 Jan 2024
Generative AI Meets Semantic Communication: Evolution and Revolution of Communication Tasks Eleonora Grassucci Jihong Park Sergio Barbarossa Seong-Lyun Kim Jinho Choi Danilo Comminiello 29 14 0 10 Jan 2024
Green Edge AI: A Contemporary Survey Yuyi Mao X. Yu Kaibin Huang Ying-Jun Angela Zhang Jun Zhang 41 17 0 01 Dec 2023
Optimal Resource Allocation for U-Shaped Parallel Split Learning Song Lyu Zhengyi Lin Guanqiao Qu Xianhao Chen Xiaoxia Huang P. Li 30 27 0 17 Aug 2023
Split Learning in 6G Edge Networks Zhengyi Lin Guanqiao Qu Xianhao Chen Kaibin Huang 34 70 0 21 Jun 2023
Efficient Parallel Split Learning over Resource-constrained Wireless Edge Networks Zhengyi Lin Guangyu Zhu Yiqin Deng Xianhao Chen Yue Gao Kaibin Huang Yuguang Fang 29 45 0 26 Mar 2023