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HierTrain: Fast Hierarchical Edge AI Learning with Hybrid Parallelism in
  Mobile-Edge-Cloud Computing

HierTrain: Fast Hierarchical Edge AI Learning with Hybrid Parallelism in Mobile-Edge-Cloud Computing

IEEE Open Journal of the Communications Society (OJ-COMSOC), 2020
22 March 2020
Deyin Liu
Xu Chen
Zhi Zhou
Qing Ling
ArXiv (abs)PDFHTML

Papers citing "HierTrain: Fast Hierarchical Edge AI Learning with Hybrid Parallelism in Mobile-Edge-Cloud Computing"

9 / 9 papers shown
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
157
6
0
26 Aug 2025
Design and Optimization of Hierarchical Gradient Coding for Distributed
  Learning at Edge Devices
Design and Optimization of Hierarchical Gradient Coding for Distributed Learning at Edge Devices
Weiheng Tang
Jingyi Li
Lin Chen
Xu Chen
345
6
0
16 Jun 2024
Communication-Efficient Large-Scale Distributed Deep Learning: A
  Comprehensive Survey
Communication-Efficient Large-Scale Distributed Deep Learning: A Comprehensive Survey
Feng Liang
Zhen Zhang
Haifeng Lu
Victor C. M. Leung
Yanyi Guo
Xiping Hu
GNN
383
27
0
09 Apr 2024
AccEPT: An Acceleration Scheme for Speeding Up Edge Pipeline-parallel
  Training
AccEPT: An Acceleration Scheme for Speeding Up Edge Pipeline-parallel TrainingIEEE Transactions on Mobile Computing (IEEE TMC), 2023
Yuhao Chen
Yuxuan Yan
Qianqian Yang
Yuanchao Shu
Shibo He
Zhiguo Shi
Jiming Chen
278
6
0
10 Nov 2023
An Overview on Generative AI at Scale with Edge-Cloud Computing
An Overview on Generative AI at Scale with Edge-Cloud ComputingIEEE Open Journal of the Communications Society (JOCS), 2023
Yun Cheng Wang
Jintang Xue
Chengwei Wei
C.-C. Jay Kuo
300
70
0
02 Jun 2023
Hierarchical Training of Deep Neural Networks Using Early Exiting
Hierarchical Training of Deep Neural Networks Using Early ExitingIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023
Yamin Sepehri
P. Pad
A. C. Yüzügüler
P. Frossard
L. A. Dunbar
335
11
0
04 Mar 2023
FTPipeHD: A Fault-Tolerant Pipeline-Parallel Distributed Training
  Framework for Heterogeneous Edge Devices
FTPipeHD: A Fault-Tolerant Pipeline-Parallel Distributed Training Framework for Heterogeneous Edge Devices
Yuhao Chen
Qianqian Yang
Shibo He
Zhiguo Shi
Jiming Chen
202
4
0
06 Oct 2021
DynaComm: Accelerating Distributed CNN Training between Edges and Clouds
  through Dynamic Communication Scheduling
DynaComm: Accelerating Distributed CNN Training between Edges and Clouds through Dynamic Communication SchedulingIEEE Journal on Selected Areas in Communications (JSAC), 2021
Shangming Cai
Dongsheng Wang
Haixia Wang
Yongqiang Lyu
Guangquan Xu
Xi Zheng
A. Vasilakos
319
8
0
20 Jan 2021
When Deep Reinforcement Learning Meets Federated Learning: Intelligent
  Multi-Timescale Resource Management for Multi-access Edge Computing in 5G
  Ultra Dense Network
When Deep Reinforcement Learning Meets Federated Learning: Intelligent Multi-Timescale Resource Management for Multi-access Edge Computing in 5G Ultra Dense NetworkIEEE Internet of Things Journal (IEEE IoT J.), 2020
Shuai Yu
Xu Chen
Zhi Zhou
Xiaowen Gong
Di Wu
160
257
0
22 Sep 2020
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