ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2505.01821
  4. Cited By
Edge-Cloud Collaborative Computing on Distributed Intelligence and Model Optimization: A Survey
v1v2v3v4v5 (latest)

Edge-Cloud Collaborative Computing on Distributed Intelligence and Model Optimization: A Survey

3 May 2025
Jing Liu
Yao Du
Kun Yang
Yan Wang
Yan Wang
Xiping Hu
Zehua Wang
Yang Liu
Peng Sun
Azzedine Boukerche
Victor C.M. Leung
ArXiv (abs)PDFHTMLGithub

Papers citing "Edge-Cloud Collaborative Computing on Distributed Intelligence and Model Optimization: A Survey"

7 / 7 papers shown
CollaPipe: Adaptive Segment-Optimized Pipeline Parallelism for Collaborative LLM Training in Heterogeneous Edge Networks
CollaPipe: Adaptive Segment-Optimized Pipeline Parallelism for Collaborative LLM Training in Heterogeneous Edge Networks
Jiewei Chen
Xiumei Deng
Zehui Xiong
Shaoyong Guo
Xuesong Qiu
Ping Wang
Dusit Niyato
117
0
0
24 Sep 2025
A Survey on Cloud-Edge-Terminal Collaborative Intelligence in AIoT Networks
A Survey on Cloud-Edge-Terminal Collaborative Intelligence in AIoT Networks
Jiaqi Wu
Jing Liu
Yang Liu
Lixu Wang
Z. Wang
Wei Chen
Zijian Tian
Richard Yu
Victor C.M. Leung
167
6
0
26 Aug 2025
Privacy-Preserving Video Anomaly Detection: A Survey
Privacy-Preserving Video Anomaly Detection: A Survey
Jing Liu
Zehua Wang
Xiaoguang Zhu
Jielin Li
Hao Yang
Liangyu Teng
Juncen Guo
Yan Wang
Jinjie Wei
Jing-nan Liu
584
19
0
21 Nov 2024
Mobile Edge Intelligence for Large Language Models: A Contemporary Survey
Mobile Edge Intelligence for Large Language Models: A Contemporary Survey
Guanqiao Qu
Qiyuan Chen
Wei Wei
Zheng Lin
Xianhao Chen
Kaibin Huang
634
204
0
09 Jul 2024
On the Impact of Black-box Deployment Strategies for Edge AI on Latency and Model Performance
On the Impact of Black-box Deployment Strategies for Edge AI on Latency and Model Performance
Jaskirat Singh
Emad Fallahzadeh
Bram Adams
Ahmed E. Hassan
MQ
486
5
0
25 Mar 2024
Agile-Quant: Activation-Guided Quantization for Faster Inference of LLMs on the Edge
Agile-Quant: Activation-Guided Quantization for Faster Inference of LLMs on the EdgeAAAI Conference on Artificial Intelligence (AAAI), 2023
Xuan Shen
Zhaoyang Han
Lei Lu
Zhenglun Kong
Zhengang Li
Ming Lin
Chao Wu
Yanzhi Wang
MQ
419
57
0
09 Dec 2023
Joint Parameter-and-Bandwidth Allocation for Improving the Efficiency of
  Partitioned Edge Learning
Joint Parameter-and-Bandwidth Allocation for Improving the Efficiency of Partitioned Edge LearningIEEE Transactions on Wireless Communications (TWC), 2020
Dingzhu Wen
M. Bennis
Kaibin Huang
368
56
0
10 Mar 2020
1
Page 1 of 1