Efficient Parallel Split Learning over Resource-constrained Wireless Edge Networks
Fuente:
arXiv
Guardado en:
| Autores principales: | Lin, Zheng, Zhu, Guangyu, Deng, Yiqin, Chen, Xianhao, Gao, Yue, Huang, Kaibin, Fang, Yuguang |
|---|---|
| Formato: | Preprint |
| Publicado: |
2023
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
ESFL: Efficient Split Federated Learning over Resource-Constrained Heterogeneous Wireless Devices
por: Zhu, Guangyu, et al.
Publicado: (2024)
por: Zhu, Guangyu, et al.
Publicado: (2024)
Split Learning in 6G Edge Networks
por: Lin, Zheng, et al.
Publicado: (2023)
por: Lin, Zheng, et al.
Publicado: (2023)
Resources on the Move for Smart City: A Disruptive Perspective on the Grand Convergence of Sensing, Communications, Computing, Storage, and Intelligence
por: Fang, Yuguang, et al.
Publicado: (2024)
por: Fang, Yuguang, et al.
Publicado: (2024)
AdaptSFL: Adaptive Split Federated Learning in Resource-constrained Edge Networks
por: Lin, Zheng, et al.
Publicado: (2024)
por: Lin, Zheng, et al.
Publicado: (2024)
TrimCaching: Parameter-sharing AI Model Caching in Wireless Edge Networks
por: Qu, Guanqiao, et al.
Publicado: (2024)
por: Qu, Guanqiao, et al.
Publicado: (2024)
Prioritized Information Bottleneck Theoretic Framework with Distributed Online Learning for Edge Video Analytics
por: Fang, Zhengru, et al.
Publicado: (2024)
por: Fang, Zhengru, et al.
Publicado: (2024)
HASFL: Heterogeneity-aware Split Federated Learning over Edge Computing Systems
por: Lin, Zheng, et al.
Publicado: (2025)
por: Lin, Zheng, et al.
Publicado: (2025)
PartialLoading: User Scheduling and Bandwidth Allocation for Parameter-sharing Edge Inference
por: Qu, Guanqiao, et al.
Publicado: (2025)
por: Qu, Guanqiao, et al.
Publicado: (2025)
PIB: Prioritized Information Bottleneck Framework for Collaborative Edge Video Analytics
por: Fang, Zhengru, et al.
Publicado: (2024)
por: Fang, Zhengru, et al.
Publicado: (2024)
HFedMoE: Resource-aware Heterogeneous Federated Learning with Mixture-of-Experts
por: Fang, Zihan, et al.
Publicado: (2026)
por: Fang, Zihan, et al.
Publicado: (2026)
RAISE: Optimizing RIS Placement to Maximize Task Throughput in Multi-Server Vehicular Edge Computing
por: Ma, Yanan, et al.
Publicado: (2025)
por: Ma, Yanan, et al.
Publicado: (2025)
Aggregation Alignment for Federated Learning with Mixture-of-Experts under Data Heterogeneity
por: Fang, Zihan, et al.
Publicado: (2026)
por: Fang, Zihan, et al.
Publicado: (2026)
Minimizing Maximum Latency of Task Offloading for Multi-UAV-assisted Maritime Search and Rescue
por: Qi, Shuang, et al.
Publicado: (2025)
por: Qi, Shuang, et al.
Publicado: (2025)
SiftMoE: Similarity-Aware Energy-Efficient Expert Selection for Wireless Distributed MoE Inference
por: Chen, Qian, et al.
Publicado: (2026)
por: Chen, Qian, et al.
Publicado: (2026)
Collaborative Perception for Connected and Autonomous Driving: Challenges, Possible Solutions and Opportunities
por: Hu, Senkang, et al.
Publicado: (2024)
por: Hu, Senkang, et al.
Publicado: (2024)
AgentsCoDriver: Large Language Model Empowered Collaborative Driving with Lifelong Learning
por: Hu, Senkang, et al.
Publicado: (2024)
por: Hu, Senkang, et al.
Publicado: (2024)
LEO-Split: A Semi-Supervised Split Learning Framework over LEO Satellite Networks
por: Lin, Zheng, et al.
Publicado: (2025)
por: Lin, Zheng, et al.
Publicado: (2025)
Shatter Throughput Ceilings: Leveraging Reflection Surfaces to Enhance Transmissions for Vehicular Fast Data Exchange
por: Ren, Qianyao, et al.
Publicado: (2026)
por: Ren, Qianyao, et al.
Publicado: (2026)
Collaborative Air-Ground Sensing, Communication, Computing, Storage, and Intelligence for Low-Altitude Economy
por: Deng, Yiqin, et al.
Publicado: (2026)
por: Deng, Yiqin, et al.
Publicado: (2026)
Automated Federated Pipeline for Parameter-Efficient Fine-Tuning of Large Language Models
por: Fang, Zihan, et al.
Publicado: (2024)
por: Fang, Zihan, et al.
Publicado: (2024)
IC3M: In-Car Multimodal Multi-object Monitoring for Abnormal Status of Both Driver and Passengers
por: Fang, Zihan, et al.
Publicado: (2024)
por: Fang, Zihan, et al.
Publicado: (2024)
Dynamic Uncertainty-aware Multimodal Fusion for Outdoor Health Monitoring
por: Fang, Zihan, et al.
Publicado: (2025)
por: Fang, Zihan, et al.
Publicado: (2025)
Pipelining Split Learning in Multi-hop Edge Networks
por: Wei, Wei, et al.
Publicado: (2025)
por: Wei, Wei, et al.
Publicado: (2025)
SlimCaching: Edge Caching of Mixture-of-Experts for Distributed Inference
por: Chen, Qian, et al.
Publicado: (2025)
por: Chen, Qian, et al.
Publicado: (2025)
Task-Oriented Semantic Compression for Localization at the Network Edge
por: Fang, Zhengru, et al.
Publicado: (2025)
por: Fang, Zhengru, et al.
Publicado: (2025)
Communication-Computation Pipeline Parallel Split Learning over Wireless Edge Networks
por: Liu, Chenyu, et al.
Publicado: (2025)
por: Liu, Chenyu, et al.
Publicado: (2025)
Towards Full-scene Domain Generalization in Multi-agent Collaborative Bird's Eye View Segmentation for Connected and Autonomous Driving
por: Hu, Senkang, et al.
Publicado: (2023)
por: Hu, Senkang, et al.
Publicado: (2023)
FedMeld: A Model-dispersal Federated Learning Framework for Space-ground Integrated Networks
por: Chen, Qian, et al.
Publicado: (2024)
por: Chen, Qian, et al.
Publicado: (2024)
FedSN: A Federated Learning Framework over Heterogeneous LEO Satellite Networks
por: Lin, Zheng, et al.
Publicado: (2023)
por: Lin, Zheng, et al.
Publicado: (2023)
AgentsCoMerge: Large Language Model Empowered Collaborative Decision Making for Ramp Merging
por: Hu, Senkang, et al.
Publicado: (2024)
por: Hu, Senkang, et al.
Publicado: (2024)
Pushing Large Language Models to the 6G Edge: Vision, Challenges, and Opportunities
por: Lin, Zheng, et al.
Publicado: (2023)
por: Lin, Zheng, et al.
Publicado: (2023)
Mobile Edge Intelligence for Large Language Models: A Contemporary Survey
por: Qu, Guanqiao, et al.
Publicado: (2024)
por: Qu, Guanqiao, et al.
Publicado: (2024)
GAPSL: A Gradient-Aligned Parallel Split Learning on Heterogeneous Data
por: Lin, Zheng, et al.
Publicado: (2026)
por: Lin, Zheng, et al.
Publicado: (2026)
Birdcast: Interest-aware BEV Multicasting for Infrastructure-assisted Collaborative Perception
por: Ma, Yanan, et al.
Publicado: (2026)
por: Ma, Yanan, et al.
Publicado: (2026)
R-ACP: Real-Time Adaptive Collaborative Perception Leveraging Robust Task-Oriented Communications
por: Fang, Zhengru, et al.
Publicado: (2024)
por: Fang, Zhengru, et al.
Publicado: (2024)
SatFed: A Resource-Efficient LEO Satellite-Assisted Heterogeneous Federated Learning Framework
por: Zhang, Yuxin, et al.
Publicado: (2024)
por: Zhang, Yuxin, et al.
Publicado: (2024)
CP-Guard: Malicious Agent Detection and Defense in Collaborative Bird's Eye View Perception
por: Hu, Senkang, et al.
Publicado: (2024)
por: Hu, Senkang, et al.
Publicado: (2024)
SplitLoRA: A Split Parameter-Efficient Fine-Tuning Framework for Large Language Models
por: Lin, Zheng, et al.
Publicado: (2024)
por: Lin, Zheng, et al.
Publicado: (2024)
TrimCaching: Parameter-sharing Edge Caching for AI Model Downloading
por: Qu, Guanqiao, et al.
Publicado: (2024)
por: Qu, Guanqiao, et al.
Publicado: (2024)
Task-Aware Parameter-Efficient Fine-Tuning of Large Pre-Trained Models at the Edge
por: Hu, Senkang, et al.
Publicado: (2025)
por: Hu, Senkang, et al.
Publicado: (2025)
Ejemplares similares
-
ESFL: Efficient Split Federated Learning over Resource-Constrained Heterogeneous Wireless Devices
por: Zhu, Guangyu, et al.
Publicado: (2024) -
Split Learning in 6G Edge Networks
por: Lin, Zheng, et al.
Publicado: (2023) -
Resources on the Move for Smart City: A Disruptive Perspective on the Grand Convergence of Sensing, Communications, Computing, Storage, and Intelligence
por: Fang, Yuguang, et al.
Publicado: (2024) -
AdaptSFL: Adaptive Split Federated Learning in Resource-constrained Edge Networks
por: Lin, Zheng, et al.
Publicado: (2024) -
TrimCaching: Parameter-sharing AI Model Caching in Wireless Edge Networks
por: Qu, Guanqiao, et al.
Publicado: (2024)