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Hierarchical Federated Learning with Momentum Acceleration in Multi-Tier
  Networks

Hierarchical Federated Learning with Momentum Acceleration in Multi-Tier Networks

26 October 2022
Zhengjie Yang
Sen Fu
Wei Bao
Dong Yuan
Albert Y. Zomaya
    FedML
ArXivPDFHTML

Papers citing "Hierarchical Federated Learning with Momentum Acceleration in Multi-Tier Networks"

5 / 5 papers shown
Title
Beyond Model Scale Limits: End-Edge-Cloud Federated Learning with Self-Rectified Knowledge Agglomeration
Zhiyuan Wu
Sheng Sun
Yuwei Wang
Min Liu
Ke Xu
Quyang Pan
Bo Gao
Tian Wen
FedML
30
0
0
03 Jan 2025
Fast-Convergent and Communication-Alleviated Heterogeneous Hierarchical
  Federated Learning in Autonomous Driving
Fast-Convergent and Communication-Alleviated Heterogeneous Hierarchical Federated Learning in Autonomous Driving
Wei-Bin Kou
Qingfeng Lin
Ming Tang
Rongguang Ye
Shuai Wang
Guangxu Zhu
Yik-Chung Wu
32
4
0
29 Sep 2024
Towards Personalized Federated Learning
Towards Personalized Federated Learning
A. Tan
Han Yu
Li-zhen Cui
Qiang Yang
FedML
AI4CE
209
840
0
01 Mar 2021
FedPAQ: A Communication-Efficient Federated Learning Method with
  Periodic Averaging and Quantization
FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization
Amirhossein Reisizadeh
Aryan Mokhtari
Hamed Hassani
Ali Jadbabaie
Ramtin Pedarsani
FedML
162
760
0
28 Sep 2019
Adaptive Federated Learning in Resource Constrained Edge Computing
  Systems
Adaptive Federated Learning in Resource Constrained Edge Computing Systems
Shiqiang Wang
Tiffany Tuor
Theodoros Salonidis
K. Leung
C. Makaya
T. He
Kevin S. Chan
144
1,685
0
14 Apr 2018
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