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Shoggoth: Towards Efficient Edge-Cloud Collaborative Real-Time Video
  Inference via Adaptive Online Learning

Shoggoth: Towards Efficient Edge-Cloud Collaborative Real-Time Video Inference via Adaptive Online Learning

27 June 2023
Liang Wang
Kai Lu
Nan Zhang
Xiaoyang Qu
Jianzong Wang
Ji-guang Wan
Guokuan Li
Jing Xiao
ArXivPDFHTML

Papers citing "Shoggoth: Towards Efficient Edge-Cloud Collaborative Real-Time Video Inference via Adaptive Online Learning"

4 / 4 papers shown
Title
Edge-Cloud Collaborative Computing on Distributed Intelligence and Model Optimization: A Survey
Edge-Cloud Collaborative Computing on Distributed Intelligence and Model Optimization: A Survey
J. H. Liu
Yao Du
Kun Yang
Yan Wang
Xiping Hu
Z. Wang
Y. Liu
Peng Sun
Azzedine Boukerche
Victor C.M. Leung
43
0
0
03 May 2025
AI-Powered Urban Transportation Digital Twin: Methods and Applications
AI-Powered Urban Transportation Digital Twin: Methods and Applications
Xuan Di
Yongjie Fu
Mehmet K.Turkcan
Mahshid Ghasemi
Zhaobin Mo
Chengbo Zang
Abhishek Adhikari
Z. Kostić
Gil Zussman
AI4CE
31
0
0
30 Dec 2024
Online Resource Allocation for Edge Intelligence with Colocated Model
  Retraining and Inference
Online Resource Allocation for Edge Intelligence with Colocated Model Retraining and Inference
Huaiguang Cai
Zhi Zhou
Qianyi Huang
40
3
0
25 May 2024
EdgeMA: Model Adaptation System for Real-Time Video Analytics on Edge
  Devices
EdgeMA: Model Adaptation System for Real-Time Video Analytics on Edge Devices
Liang Wang
Nan Zhang
Xiaoyang Qu
Jianzong Wang
Ji-guang Wan
Guokuan Li
Kaiyu Hu
Guilin Jiang
Jing Xiao
8
2
0
17 Aug 2023
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