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Communication-Efficient Federated Learning with Compensated
  Overlap-FedAvg

Communication-Efficient Federated Learning with Compensated Overlap-FedAvg

12 December 2020
Yuhao Zhou
Qing Ye
Jiancheng Lv
    FedML
ArXivPDFHTML

Papers citing "Communication-Efficient Federated Learning with Compensated Overlap-FedAvg"

11 / 11 papers shown
Title
Federated Learning for Cyber Physical Systems: A Comprehensive Survey
Federated Learning for Cyber Physical Systems: A Comprehensive Survey
Minh K. Quan
P. Pathirana
M. Wijayasundara
S. Setunge
Dinh C. Nguyen
Christopher G. Brinton
David J. Love
H. Vincent Poor
AI4CE
54
0
0
08 May 2025
Communication-efficient Federated Learning with Single-Step Synthetic
  Features Compressor for Faster Convergence
Communication-efficient Federated Learning with Single-Step Synthetic Features Compressor for Faster Convergence
Yuhao Zhou
Mingjia Shi
Yuanxi Li
Qing Ye
Yanan Sun
Jiancheng Lv
18
3
0
27 Feb 2023
Matching DNN Compression and Cooperative Training with Resources and
  Data Availability
Matching DNN Compression and Cooperative Training with Resources and Data Availability
F. Malandrino
G. Giacomo
Armin Karamzade
Marco Levorato
C. Chiasserini
45
9
0
02 Dec 2022
PiPar: Pipeline Parallelism for Collaborative Machine Learning
PiPar: Pipeline Parallelism for Collaborative Machine Learning
Zihan Zhang
Philip Rodgers
Peter Kilpatrick
I. Spence
Blesson Varghese
FedML
43
3
0
01 Dec 2022
Personalized Federated Learning with Hidden Information on Personalized
  Prior
Personalized Federated Learning with Hidden Information on Personalized Prior
Mingjia Shi
Yuhao Zhou
Qing Ye
Jiancheng Lv
FedML
29
3
0
19 Nov 2022
Accelerated Federated Learning with Decoupled Adaptive Optimization
Accelerated Federated Learning with Decoupled Adaptive Optimization
Jiayin Jin
Jiaxiang Ren
Yang Zhou
Lingjuan Lyu
Ji Liu
Dejing Dou
AI4CE
FedML
19
51
0
14 Jul 2022
Improving the Robustness of Federated Learning for Severely Imbalanced
  Datasets
Improving the Robustness of Federated Learning for Severely Imbalanced Datasets
Debasrita Chakraborty
Ashish Ghosh
FedML
27
2
0
28 Apr 2022
Optimising Communication Overhead in Federated Learning Using NSGA-II
Optimising Communication Overhead in Federated Learning Using NSGA-II
José Á. Morell
Z. Dahi
Francisco Chicano
Gabriel Luque
Enrique Alba
FedML
30
11
0
01 Apr 2022
Communication-Efficient Online Federated Learning Framework for
  Nonlinear Regression
Communication-Efficient Online Federated Learning Framework for Nonlinear Regression
Vinay Chakravarthi Gogineni
Stefan Werner
Yih-Fang Huang
A. Kuh
FedML
21
20
0
13 Oct 2021
Threats to Federated Learning: A Survey
Threats to Federated Learning: A Survey
Lingjuan Lyu
Han Yu
Qiang Yang
FedML
202
434
0
04 Mar 2020
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Zhuowen Tu
Kaiming He
297
10,225
0
16 Nov 2016
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