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Real-time Neural Network Inference on Extremely Weak Devices: Agile
  Offloading with Explainable AI

Real-time Neural Network Inference on Extremely Weak Devices: Agile Offloading with Explainable AI

21 December 2023
Kai Huang
Wei Gao
ArXivPDFHTML

Papers citing "Real-time Neural Network Inference on Extremely Weak Devices: Agile Offloading with Explainable AI"

15 / 15 papers shown
Title
LimitNet: Progressive, Content-Aware Image Offloading for Extremely Weak Devices & Networks
LimitNet: Progressive, Content-Aware Image Offloading for Extremely Weak Devices & Networks
A. Hojjat
Janek Haberer
Tayyaba Zainab
Olaf Landsiedel
39
3
0
18 Apr 2025
Collaborative Learning of On-Device Small Model and Cloud-Based Large Model: Advances and Future Directions
Collaborative Learning of On-Device Small Model and Cloud-Based Large Model: Advances and Future Directions
Chaoyue Niu
Yucheng Ding
Junhui Lu
Zhengxiang Huang
Hang Zeng
Yutong Dai
Xuezhen Tu
Chengfei Lv
Fan Wu
Guihai Chen
32
1
0
17 Apr 2025
Never Start from Scratch: Expediting On-Device LLM Personalization via Explainable Model Selection
Never Start from Scratch: Expediting On-Device LLM Personalization via Explainable Model Selection
Haoming Wang
Boyuan Yang
Xiangyu Yin
Wei Gao
33
0
0
15 Apr 2025
Empowering Edge Intelligence: A Comprehensive Survey on On-Device AI Models
Empowering Edge Intelligence: A Comprehensive Survey on On-Device AI Models
Xubin Wang
Zhiqing Tang
Jianxiong Guo
Tianhui Meng
Chenhao Wang
Tian-sheng Wang
Weijia Jia
52
1
0
08 Mar 2025
AutoIOT: LLM-Driven Automated Natural Language Programming for AIoT Applications
Leming Shen
Qiang Yang
Yuanqing Zheng
Mo Li
48
1
0
07 Mar 2025
Threshold Neuron: A Brain-inspired Artificial Neuron for Efficient On-device Inference
Threshold Neuron: A Brain-inspired Artificial Neuron for Efficient On-device Inference
Zihao Zheng
Yuanchun Li
Jiayu Chen
Peng Zhou
Xiang Chen
Yunxin Liu
80
0
0
18 Dec 2024
CloudEye: A New Paradigm of Video Analysis System for Mobile Visual
  Scenarios
CloudEye: A New Paradigm of Video Analysis System for Mobile Visual Scenarios
Huan Cui
Qing Li
Hanling Wang
Yong-jia Jiang
16
0
0
24 Oct 2024
Asteroid: Resource-Efficient Hybrid Pipeline Parallelism for
  Collaborative DNN Training on Heterogeneous Edge Devices
Asteroid: Resource-Efficient Hybrid Pipeline Parallelism for Collaborative DNN Training on Heterogeneous Edge Devices
Shengyuan Ye
Liekang Zeng
Xiaowen Chu
Guoliang Xing
Xu Chen
38
11
0
15 Aug 2024
Online Optimization of DNN Inference Network Utility in Collaborative
  Edge Computing
Online Optimization of DNN Inference Network Utility in Collaborative Edge Computing
Rui Li
Tao Ouyang
Liekang Zeng
Guocheng Liao
Zhi Zhou
Xu Chen
24
0
0
28 Jun 2024
SwapNet: Efficient Swapping for DNN Inference on Edge AI Devices Beyond
  the Memory Budget
SwapNet: Efficient Swapping for DNN Inference on Edge AI Devices Beyond the Memory Budget
Kun Wang
Jiani Cao
Zimu Zhou
Zhenjiang Li
22
5
0
30 Jan 2024
DTMM: Deploying TinyML Models on Extremely Weak IoT Devices with Pruning
DTMM: Deploying TinyML Models on Extremely Weak IoT Devices with Pruning
Lixiang Han
Zhen Xiao
Zhenjiang Li
41
5
0
17 Jan 2024
EdgeFM: Leveraging Foundation Model for Open-set Learning on the Edge
EdgeFM: Leveraging Foundation Model for Open-set Learning on the Edge
Bufang Yang
Lixing He
Neiwen Ling
Zhenyu Yan
Guoliang Xing
Xian Shuai
Xiaozhe Ren
Xin Jiang
45
20
0
18 Nov 2023
DVFO: Learning-Based DVFS for Energy-Efficient Edge-Cloud Collaborative
  Inference
DVFO: Learning-Based DVFS for Energy-Efficient Edge-Cloud Collaborative Inference
Ziyang Zhang
Yang Zhao
Huan Li
Changyao Lin
Jie Liu
38
13
0
02 Jun 2023
DC-CCL: Device-Cloud Collaborative Controlled Learning for Large Vision
  Models
DC-CCL: Device-Cloud Collaborative Controlled Learning for Large Vision Models
Yucheng Ding
Chaoyue Niu
Fan Wu
Shaojie Tang
Chengfei Lyu
Guihai Chen
24
6
0
18 Mar 2023
Edge Video Analytics: A Survey on Applications, Systems and Enabling
  Techniques
Edge Video Analytics: A Survey on Applications, Systems and Enabling Techniques
Renjie Xu
S. Razavi
Rong Zheng
41
15
0
28 Nov 2022
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