ResearchTrend.AI
DeViT: Decomposing Vision Transformers for Collaborative Inference in Edge Devices

DeViT: Decomposing Vision Transformers for Collaborative Inference in Edge Devices

Guanyu Xu
Zhiwei Hao
Yong Luo
Han Hu
J. An
Shiwen Mao
    ViT
ArXivPDFHTML

Papers citing "DeViT: Decomposing Vision Transformers for Collaborative Inference in Edge Devices"

6 / 6 papers shown
Title
Vision-Language Models for Edge Networks: A Comprehensive Survey
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
Attention-aware Semantic Communications for Collaborative Inference
Attention-aware Semantic Communications for Collaborative Inference
Jiwoong Im
Nayoung Kwon
Taewoo Park
Jiheon Woo
Jaeho Lee
Yongjune Kim
46
2
0
23 Feb 2024
EdgeVision: Towards Collaborative Video Analytics on Distributed Edges for Performance Maximization
EdgeVision: Towards Collaborative Video Analytics on Distributed Edges for Performance Maximization
Guanyu Gao
Yuqian Dong
Ran A. Wang
Xin Zhou
11
8
0
06 Nov 2022
CDFKD-MFS: Collaborative Data-free Knowledge Distillation via Multi-level Feature Sharing
CDFKD-MFS: Collaborative Data-free Knowledge Distillation via Multi-level Feature Sharing
Zhiwei Hao
Yong Luo
Zhi Wang
Han Hu
J. An
47
27
0
24 May 2022
MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer
MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer
Sachin Mehta
Mohammad Rastegari
ViT
218
1,213
0
05 Oct 2021
Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism
Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism
M. Shoeybi
M. Patwary
Raul Puri
P. LeGresley
Jared Casper
Bryan Catanzaro
MoE
245
1,826
0
17 Sep 2019