Cover Image

EdgeFM: Efficient Edge Inference for Vision-Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Deng, Mengling, Chen, Yuanpeng, Yang, Sheng, Tao, Wei, Zhang, Wenhai, Song, Hui, Qin, Linyuanhao, Zhao, Kai, Ye, Xiaojun, Mo, Shanhui, Fan, Jingli, Zhang, Shuang, Liu, Bei, Zhao, Tiankun, An, Xiangjing
Format:	Preprint
Published:	2026
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Fast-BEV++: Fast by Algorithm, Deployable by Design
by: Chen, Yuanpeng, et al.
Published: (2025)

Reconfigurable Intelligent Surface for Green Edge Inference
by: Hua, Sheng, et al.
Published: (2019)

CLONE: Customizing LLMs for Efficient Latency-Aware Inference at the Edge
by: Tian, Chunlin, et al.
Published: (2025)

Sparse Optimization for Green Edge AI Inference
by: Yang, Xiangyu, et al.
Published: (2020)

COBRA: Algorithm-Architecture Co-optimized Binary Transformer Accelerator for Edge Inference
by: Qiao, Ye, et al.
Published: (2025)

Jupiter: Fast and Resource-Efficient Collaborative Inference of Generative LLMs on Edge Devices
by: Ye, Shengyuan, et al.
Published: (2025)

zjs123/LitFM: LitFM implementation V1
by: JiaSheng Zhang
Published: (2025)

EdgeShard: Efficient LLM Inference via Collaborative Edge Computing
by: Zhang, Mingjin, et al.
Published: (2024)

Collaborative Edge-to-Server Inference for Vision-Language Models
by: Song, Soochang, et al.
Published: (2025)

Link Prediction on Textual Edge Graphs
by: Ling, Chen, et al.
Published: (2024)

Smart Stimuli‐Responsive Spherical Nucleic Acids: Cutting‐Edge Platforms for Biosensing, Bioimaging, and Therapeutics
by: Xiaoqi Tang, et al.
Published: (2024)

EdgeRL: Reinforcement Learning-driven Deep Learning Model Inference Optimization at Edge
by: Mounesan, Motahare, et al.
Published: (2024)

Edge-Cloud Collaborative Satellite Image Analysis for Efficient Man-Made Structure Recognition
by: Sheng, Kaicheng, et al.
Published: (2024)

Aligned Vector Quantization for Edge-Cloud Collabrative Vision-Language Models
by: Liu, Xiao, et al.
Published: (2024)

DiffusionEdge: Diffusion Probabilistic Model for Crisp Edge Detection
by: Ye, Yunfan, et al.
Published: (2024)

EC-Diff: Fast and High-Quality Edge-Cloud Collaborative Inference for Diffusion Models
by: Xie, Jiajian, et al.
Published: (2025)

CarbonEdge: Carbon-Aware Deep Learning Inference Framework for Sustainable Edge Computing
by: Zhang, Guilin, et al.
Published: (2026)

Energy-Efficient Vision Transformer Inference for Edge-AI Deployment
by: Amanzhol, Nursultan, et al.
Published: (2025)

Efficient Partitioning Vision Transformer on Edge Devices for Distributed Inference
by: Liu, Xiang, et al.
Published: (2024)

EdgeFlex-Transformer: Transformer Inference for Edge Devices
by: Mohammad, Shoaib, et al.
Published: (2025)

PRISM: Distributed Inference for Foundation Models at Edge
by: Qazi, Muhammad Azlan, et al.
Published: (2025)

EdgeSight: Enabling Modeless and Cost-Efficient Inference at the Edge
by: Lao, ChonLam, et al.
Published: (2024)

Precise Drive with VLM: First Prize Solution for PRCV 2024 Drive LM challenge
by: Huang, Bin, et al.
Published: (2024)

EdgeVLA: Efficient Vision-Language-Action Models
by: Budzianowski, Paweł, et al.
Published: (2025)

SLIDE: Simultaneous Model Downloading and Inference at the Wireless Network Edge
by: Qu, Guanqiao, et al.
Published: (2025)

Ask the Expert: Collaborative Inference for Vision Transformers with Near-Edge Accelerators
by: Liu, Hao, et al.
Published: (2026)

Communication-Computation Trade-Off in Resource-Constrained Edge Inference
by: Shao, Jiawei, et al.
Published: (2020)

Quantum Causal Inference with Extremely Light Touch
by: Liu, Xiangjing, et al.
Published: (2023)

CDIO: Cross-Domain Inference Optimization with Resource Preference Prediction for Edge-Cloud Collaboration
by: Yang, Zheming, et al.
Published: (2025)

Adaptive Configuration Selection for Multi-Model Inference Pipelines in Edge Computing
by: Sheng, Jinhao, et al.
Published: (2025)

Efficient LLM Inference over Heterogeneous Edge Networks with Speculative Decoding
by: Zhu, Bingjie, et al.
Published: (2025)

MoA-Off: Adaptive Heterogeneous Modality-Aware Offloading with Edge-Cloud Collaboration for Efficient Multimodal LLM Inference
by: Yang, Zheming, et al.
Published: (2025)

On the Sustainability of AI Inferences in the Edge
by: Sobhani, Ghazal, et al.
Published: (2025)

Environment-Aware Dynamic Pruning for Pipelined Edge Inference
by: O'Quinn, Austin, et al.
Published: (2025)

E4: Energy-Efficient DNN Inference for Edge Video Analytics Via Early-Exit and DVFS
by: Zhang, Ziyang, et al.
Published: (2025)

Differentiable Edge-based OPC
by: Chen, Guojin, et al.
Published: (2024)

Edge theory of non-Hermitian skin modes in higher dimensions
by: Zhang, Kai, et al.
Published: (2023)

Adaptive Layer Splitting for Wireless LLM Inference in Edge Computing: A Model-Based Reinforcement Learning Approach
by: Chen, Yuxuan, et al.
Published: (2024)

Edge-aware Feature Aggregation Network for Polyp Segmentation
by: Zhou, Tao, et al.
Published: (2023)

LQA: A Lightweight Quantized-Adaptive Framework for Vision-Language Models on the Edge
by: Wang, Xin, et al.
Published: (2026)