TrimCaching: Parameter-sharing AI Model Caching in Wireless Edge Networks
Fuente:
arXiv
Saved in:
| Main Authors: | Qu, Guanqiao, Lin, Zheng, Liu, Fangming, Chen, Xianhao, Huang, Kaibin |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
TrimCaching: Parameter-sharing Edge Caching for AI Model Downloading
by: Qu, Guanqiao, et al.
Published: (2024)
by: Qu, Guanqiao, et al.
Published: (2024)
PartialLoading: User Scheduling and Bandwidth Allocation for Parameter-sharing Edge Inference
by: Qu, Guanqiao, et al.
Published: (2025)
by: Qu, Guanqiao, et al.
Published: (2025)
Mobile Edge Intelligence for Large Language Models: A Contemporary Survey
by: Qu, Guanqiao, et al.
Published: (2024)
by: Qu, Guanqiao, et al.
Published: (2024)
Split Learning in 6G Edge Networks
by: Lin, Zheng, et al.
Published: (2023)
by: Lin, Zheng, et al.
Published: (2023)
SLIDE: Simultaneous Model Downloading and Inference at the Wireless Network Edge
by: Qu, Guanqiao, et al.
Published: (2025)
by: Qu, Guanqiao, et al.
Published: (2025)
SlimCaching: Edge Caching of Mixture-of-Experts for Distributed Inference
by: Chen, Qian, et al.
Published: (2025)
by: Chen, Qian, et al.
Published: (2025)
LLM-Empowered Cooperative Content Caching in Vehicular Fog Caching-Assisted Platoon Networks
by: Tan, Bowen, et al.
Published: (2026)
by: Tan, Bowen, et al.
Published: (2026)
Fine-Grained AI Model Caching and Downloading With Coordinated Multipoint Broadcasting in Multi-Cell Edge Networks
by: Fu, Yang, et al.
Published: (2025)
by: Fu, Yang, et al.
Published: (2025)
Cooperative Edge Caching with Large Language Model in Wireless Networks
by: Yang, Ning, et al.
Published: (2026)
by: Yang, Ning, et al.
Published: (2026)
Joint Model Caching and Resource Allocation in Generative AI-Enabled Wireless Edge Networks
by: Liu, Zhang, et al.
Published: (2024)
by: Liu, Zhang, et al.
Published: (2024)
Emergency Caching: Coded Caching-based Reliable Map Transmission in Emergency Networks
by: Tian, Zeyu, et al.
Published: (2024)
by: Tian, Zeyu, et al.
Published: (2024)
Revisiting Outage for Edge Inference Systems
by: Wang, Zhanwei, et al.
Published: (2025)
by: Wang, Zhanwei, et al.
Published: (2025)
SiftMoE: Similarity-Aware Energy-Efficient Expert Selection for Wireless Distributed MoE Inference
by: Chen, Qian, et al.
Published: (2026)
by: Chen, Qian, et al.
Published: (2026)
Green Edge AI: A Contemporary Survey
by: Mao, Yuyi, et al.
Published: (2023)
by: Mao, Yuyi, et al.
Published: (2023)
Multi-Agent RL-Based Industrial AIGC Service Offloading over Wireless Edge Networks
by: Li, Siyuan, et al.
Published: (2024)
by: Li, Siyuan, et al.
Published: (2024)
FedOC: Multi-Server FL with Overlapping Client Relays in Wireless Edge Networks
by: Ji, Yun, et al.
Published: (2025)
by: Ji, Yun, et al.
Published: (2025)
Channel-Adaptive Edge AI: Maximizing Inference Throughput by Adapting Computational Complexity to Channel States
by: Zhang, Jierui, et al.
Published: (2026)
by: Zhang, Jierui, et al.
Published: (2026)
A Wireless World Model for AI-Native 6G Networks
by: Chen, Ziqi, et al.
Published: (2026)
by: Chen, Ziqi, et al.
Published: (2026)
Space-ground Fluid AI for 6G Edge Intelligence
by: Chen, Qian, et al.
Published: (2024)
by: Chen, Qian, et al.
Published: (2024)
Federated Agentic AI for Wireless Networks: Fundamentals, Approaches, and Applications
by: Cai, Lingyi, et al.
Published: (2026)
by: Cai, Lingyi, et al.
Published: (2026)
Large AI Model-Enabled Secure Communications in Low-Altitude Wireless Networks: Concepts, Perspectives and Case Study
by: Zhang, Chuang, et al.
Published: (2025)
by: Zhang, Chuang, et al.
Published: (2025)
Digital Twin-Assisted Data-Driven Optimization for Reliable Edge Caching in Wireless Networks
by: Zhang, Zifan, et al.
Published: (2024)
by: Zhang, Zifan, et al.
Published: (2024)
SparKV: Overhead-Aware KV Cache Loading for Efficient On-Device LLM Inference
by: Liu, Hongyao, et al.
Published: (2026)
by: Liu, Hongyao, et al.
Published: (2026)
Pinching Antennas Meet AI in Next-Generation Wireless Networks
by: Fang, Fang, et al.
Published: (2025)
by: Fang, Fang, et al.
Published: (2025)
FedMeld: A Model-dispersal Federated Learning Framework for Space-ground Integrated Networks
by: Chen, Qian, et al.
Published: (2024)
by: Chen, Qian, et al.
Published: (2024)
SpaceMoE: Towards Orbital General Intelligence with Distributed Mixture-of-Experts Inference
by: Chen, Qian, et al.
Published: (2026)
by: Chen, Qian, et al.
Published: (2026)
Applications of Generative AI (GAI) for Mobile and Wireless Networking: A Survey
by: Vu, Thai-Hoc, et al.
Published: (2024)
by: Vu, Thai-Hoc, et al.
Published: (2024)
Advanced Architectures Integrated with Agentic AI for Next-Generation Wireless Networks
by: Dev, Kapal, et al.
Published: (2025)
by: Dev, Kapal, et al.
Published: (2025)
Generative AI for Data Augmentation in Wireless Networks: Analysis, Applications, and Case Study
by: Wen, Jinbo, et al.
Published: (2024)
by: Wen, Jinbo, et al.
Published: (2024)
Decentralized Multi-Party Multi-Network AI for Global Deployment of 6G Wireless Systems
by: Dzaferagic, Merim, et al.
Published: (2024)
by: Dzaferagic, Merim, et al.
Published: (2024)
Pipelining Split Learning in Multi-hop Edge Networks
by: Wei, Wei, et al.
Published: (2025)
by: Wei, Wei, et al.
Published: (2025)
HiFiNet: Hierarchical Fault Identification in Wireless Sensor Networks via Edge-Based Classification and Graph Aggregation
by: Nghia, Nguyen Tri, et al.
Published: (2025)
by: Nghia, Nguyen Tri, et al.
Published: (2025)
LAMBO: Large AI Model Empowered Edge Intelligence
by: Dong, Li, et al.
Published: (2023)
by: Dong, Li, et al.
Published: (2023)
Strategic Demand-Planning in Wireless Networks: Can Generative-AI Save Spectrum and Energy?
by: Çiloğlu, Berk, et al.
Published: (2024)
by: Çiloğlu, Berk, et al.
Published: (2024)
Modular and Integrated AI Control Framework across Fiber and Wireless Networks for 6G
by: Dzaferagic, Merim, et al.
Published: (2025)
by: Dzaferagic, Merim, et al.
Published: (2025)
Adaptive Contextual Caching for Mobile Edge Large Language Model Service
by: Liu, Guangyuan, et al.
Published: (2025)
by: Liu, Guangyuan, et al.
Published: (2025)
Effective ML Model Versioning in Edge Networks
by: Gentzen, Fin, et al.
Published: (2024)
by: Gentzen, Fin, et al.
Published: (2024)
Hybrid Orchestration of Edge AI and Microservices via Graph-based Self-Imitation Learning
by: Yang, Chen, et al.
Published: (2026)
by: Yang, Chen, et al.
Published: (2026)
Intra-DP: A High Performance Collaborative Inference System for Mobile Edge Computing
by: Sun, Zekai, et al.
Published: (2025)
by: Sun, Zekai, et al.
Published: (2025)
On the Combination of AI and Wireless Technologies: 3GPP Standardization Progress
by: Sun, Chen, et al.
Published: (2024)
by: Sun, Chen, et al.
Published: (2024)
Similar Items
-
TrimCaching: Parameter-sharing Edge Caching for AI Model Downloading
by: Qu, Guanqiao, et al.
Published: (2024) -
PartialLoading: User Scheduling and Bandwidth Allocation for Parameter-sharing Edge Inference
by: Qu, Guanqiao, et al.
Published: (2025) -
Mobile Edge Intelligence for Large Language Models: A Contemporary Survey
by: Qu, Guanqiao, et al.
Published: (2024) -
Split Learning in 6G Edge Networks
by: Lin, Zheng, et al.
Published: (2023) -
SLIDE: Simultaneous Model Downloading and Inference at the Wireless Network Edge
by: Qu, Guanqiao, et al.
Published: (2025)