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Split Learning in 6G Edge Networks

Split Learning in 6G Edge Networks

21 June 2023
Zhengyi Lin
Guanqiao Qu
Xianhao Chen
Kaibin Huang
ArXivPDFHTML

Papers citing "Split Learning in 6G Edge Networks"

35 / 35 papers shown
Title
Visual Fidelity Index for Generative Semantic Communications with Critical Information Embedding
Visual Fidelity Index for Generative Semantic Communications with Critical Information Embedding
Jianhao Huang
Qunsong Zeng
Kaibin Huang
DiffM
28
0
0
15 May 2025
Efficient Federated Split Learning for Large Language Models over Communication Networks
Efficient Federated Split Learning for Large Language Models over Communication Networks
Kai Zhao
Zhaohui Yang
40
0
0
20 Apr 2025
SFL-LEO: Asynchronous Split-Federated Learning Design for LEO Satellite-Ground Network Framework
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
Task-Aware Parameter-Efficient Fine-Tuning of Large Pre-Trained Models at the Edge
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
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
Advanced Relay-Based Collaborative Framework for Optimizing Synchronization in Split Federated Learning over Wireless Networks
Advanced Relay-Based Collaborative Framework for Optimizing Synchronization in Split Federated Learning over Wireless Networks
Haoran Gao
Samuel D. Okegbile
Jun Cai
FedML
48
0
0
18 Mar 2025
Secure On-Device Video OOD Detection Without Backpropagation
Secure On-Device Video OOD Detection Without Backpropagation
Li Li
Peilin Cai
Yuxiao Zhou
Zhiyu Ni
Renjie Liang
You Qin
Yi Nian
Z. Tu
Xiyang Hu
Yue Zhao
OODD
FedML
68
2
0
08 Mar 2025
Rethinking Membership Inference Attacks Against Transfer Learning
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
64
34
0
20 Jan 2025
Secure Resource Allocation via Constrained Deep Reinforcement Learning
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
DynaShard: Secure and Adaptive Blockchain Sharding Protocol with Hybrid
  Consensus and Dynamic Shard Management
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
Model Partition and Resource Allocation for Split Learning in Vehicular
  Edge Networks
Model Partition and Resource Allocation for Split Learning in Vehicular Edge Networks
Lu Yu
Zheng Chang
Yunjian Jia
Geyong Min
30
1
0
11 Nov 2024
Personalized Hierarchical Split Federated Learning in Wireless Networks
Personalized Hierarchical Split Federated Learning in Wireless Networks
Md Ferdous Pervej
Andreas F. Molisch
28
0
0
09 Nov 2024
Tracing Human Stress from Physiological Signals using UWB Radar
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
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
Training on Fake Labels: Mitigating Label Leakage in Split Learning via
  Secure Dimension Transformation
Training on Fake Labels: Mitigating Label Leakage in Split Learning via Secure Dimension Transformation
Yukun Jiang
Peiran Wang
Chengguo Lin
Ziyue Huang
Yong Cheng
31
0
0
11 Oct 2024
SatFed: A Resource-Efficient LEO Satellite-Assisted Heterogeneous
  Federated Learning Framework
SatFed: A Resource-Efficient LEO Satellite-Assisted Heterogeneous Federated Learning Framework
Yuxin Zhang
Zheng Lin
Zhe Chen
Zihan Fang
Wenjun Zhu
Xianhao Chen
Jin Zhao
Yue Gao
FedML
25
17
0
20 Sep 2024
An Efficient Privacy-aware Split Learning Framework for Satellite
  Communications
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
$S^2$NeRF: Privacy-preserving Training Framework for NeRF
S2S^2S2NeRF: Privacy-preserving Training Framework for NeRF
Bokang Zhang
Yanglin Zhang
Zhikun Zhang
Jinglan Yang
Lingying Huang
Junfeng Wu
51
2
0
03 Sep 2024
Privacy-preserving Universal Adversarial Defense for Black-box Models
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
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
Mobile Edge Intelligence for Large Language Models: A Contemporary Survey
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
SplitLoRA: A Split Parameter-Efficient Fine-Tuning Framework for Large
  Language Models
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
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
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
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
TrimCaching: Parameter-sharing AI Model Caching in Wireless Edge
  Networks
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
Automated Federated Pipeline for Parameter-Efficient Fine-Tuning of
  Large Language Models
Automated Federated Pipeline for Parameter-Efficient Fine-Tuning of Large Language Models
Zihan Fang
Zheng Lin
Zhe Chen
Xianhao Chen
Yue Gao
Yuguang Fang
56
35
0
09 Apr 2024
FedAC: An Adaptive Clustered Federated Learning Framework for
  Heterogeneous Data
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
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
Towards Integrated Fine-tuning and Inference when Generative AI meets
  Edge Intelligence
Towards Integrated Fine-tuning and Inference when Generative AI meets Edge Intelligence
Ning Chen
Zhipeng Cheng
Xuwei Fan
Xiaoyu Xia
Lianfen Huang
61
1
0
05 Jan 2024
Pushing Large Language Models to the 6G Edge: Vision, Challenges, and
  Opportunities
Pushing Large Language Models to the 6G Edge: Vision, Challenges, and Opportunities
Zhengyi Lin
Guanqiao Qu
Qiyuan Chen
Randy Sarayar
Zhe Chen
Kaibin Huang
16
90
0
28 Sep 2023
Optimal Resource Allocation for U-Shaped Parallel Split Learning
Optimal Resource Allocation for U-Shaped Parallel Split Learning
Song Lyu
Zhengyi Lin
Guanqiao Qu
Xianhao Chen
Xiaoxia Huang
P. Li
25
27
0
17 Aug 2023
Vehicle as a Service (VaaS): Leverage Vehicles to Build Service Networks
  and Capabilities for Smart Cities
Vehicle as a Service (VaaS): Leverage Vehicles to Build Service Networks and Capabilities for Smart Cities
Xianhao Chen
Yiqin Deng
Haichuan Ding
Guanqiao Qu
Haixia Zhang
P. Li
Yuguang Fang
GNN
45
41
0
22 Apr 2023
Efficient Parallel Split Learning over Resource-constrained Wireless
  Edge Networks
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
Splitfed learning without client-side synchronization: Analyzing
  client-side split network portion size to overall performance
Splitfed learning without client-side synchronization: Analyzing client-side split network portion size to overall performance
Praveen Joshi
Chandra Thapa
S. Çamtepe
M. Hasanuzzamana
T. Scully
Haithem Afli
FedML
40
24
0
19 Sep 2021
1