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L-FGADMM: Layer-Wise Federated Group ADMM for Communication Efficient
  Decentralized Deep Learning

L-FGADMM: Layer-Wise Federated Group ADMM for Communication Efficient Decentralized Deep Learning

9 November 2019
Anis Elgabli
Jihong Park
Sabbir Ahmed
M. Bennis
    FedML
ArXivPDFHTML

Papers citing "L-FGADMM: Layer-Wise Federated Group ADMM for Communication Efficient Decentralized Deep Learning"

5 / 5 papers shown
Title
Improving Privacy-Preserving Vertical Federated Learning by Efficient
  Communication with ADMM
Improving Privacy-Preserving Vertical Federated Learning by Efficient Communication with ADMM
Chulin Xie
Pin-Yu Chen
Qinbin Li
Arash Nourian
Ce Zhang
Bo Li
FedML
38
16
0
20 Jul 2022
FedGiA: An Efficient Hybrid Algorithm for Federated Learning
FedGiA: An Efficient Hybrid Algorithm for Federated Learning
Shenglong Zhou
Geoffrey Ye Li
FedML
31
16
0
03 May 2022
The Effect of Training Parameters and Mechanisms on Decentralized
  Federated Learning based on MNIST Dataset
The Effect of Training Parameters and Mechanisms on Decentralized Federated Learning based on MNIST Dataset
Zhuofan Zhang
Mi Zhou
K. Niu
C. Abdallah
FedML
44
1
0
07 Aug 2021
Communication Efficient Distributed Learning with Censored, Quantized,
  and Generalized Group ADMM
Communication Efficient Distributed Learning with Censored, Quantized, and Generalized Group ADMM
Chaouki Ben Issaid
Anis Elgabli
Jihong Park
M. Bennis
Mérouane Debbah
FedML
31
13
0
14 Sep 2020
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