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Hierarchical Federated Learning with Quantization: Convergence Analysis
  and System Design

Hierarchical Federated Learning with Quantization: Convergence Analysis and System Design

26 March 2021
Lumin Liu
Jun Zhang
Shenghui Song
Khaled B. Letaief
    FedML
ArXivPDFHTML

Papers citing "Hierarchical Federated Learning with Quantization: Convergence Analysis and System Design"

9 / 9 papers shown
Title
Communication-Efficient and Personalized Federated Foundation Model Fine-Tuning via Tri-Matrix Adaptation
Communication-Efficient and Personalized Federated Foundation Model Fine-Tuning via Tri-Matrix Adaptation
Yongqian Li
Bo Liu
Sheng Huang
Zhe Zhang
Xiaotong Yuan
Richang Hong
46
0
0
31 Mar 2025
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
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
42
43
0
09 Jul 2024
Collaborative Visual Place Recognition through Federated Learning
Collaborative Visual Place Recognition through Federated Learning
Mattia Dutto
Gabriele Berton
Debora Caldarola
Eros Fani
Gabriele Trivigno
Carlo Masone
FedML
32
1
0
20 Apr 2024
Federated Learning: A Cutting-Edge Survey of the Latest Advancements and
  Applications
Federated Learning: A Cutting-Edge Survey of the Latest Advancements and Applications
Azim Akhtarshenas
Mohammad Ali Vahedifar
Navid Ayoobi
B. Maham
Tohid Alizadeh
Sina Ebrahimi
David López-Pérez
FedML
28
5
0
08 Oct 2023
Hierarchical Federated Learning with Momentum Acceleration in Multi-Tier
  Networks
Hierarchical Federated Learning with Momentum Acceleration in Multi-Tier Networks
Zhengjie Yang
Sen Fu
Wei Bao
Dong Yuan
Albert Y. Zomaya
FedML
42
5
0
26 Oct 2022
Federated Dropout -- A Simple Approach for Enabling Federated Learning
  on Resource Constrained Devices
Federated Dropout -- A Simple Approach for Enabling Federated Learning on Resource Constrained Devices
Dingzhu Wen
Ki-Jun Jeon
Kaibin Huang
FedML
70
90
0
30 Sep 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
174
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
1,687
0
14 Apr 2018
1