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Efficient Ring-topology Decentralized Federated Learning with Deep
  Generative Models for Industrial Artificial Intelligent

Efficient Ring-topology Decentralized Federated Learning with Deep Generative Models for Industrial Artificial Intelligent

15 April 2021
Zhao Wang
Yifan Hu
Jun Xiao
Chao-Xiang Wu
    AI4CE
ArXivPDFHTML

Papers citing "Efficient Ring-topology Decentralized Federated Learning with Deep Generative Models for Industrial Artificial Intelligent"

3 / 3 papers shown
Title
Straggler-Resilient Differentially-Private Decentralized Learning
Straggler-Resilient Differentially-Private Decentralized Learning
Yauhen Yakimenka
Chung-Wei Weng
Hsuan-Yin Lin
E. Rosnes
J. Kliewer
23
6
0
06 Dec 2022
Reducing bias and increasing utility by federated generative modeling of
  medical images using a centralized adversary
Reducing bias and increasing utility by federated generative modeling of medical images using a centralized adversary
Jean-Francois Rajotte
S. Mukherjee
Caleb Robinson
Anthony Ortiz
Christopher West
J. L. Ferres
R. Ng
FedML
MedIm
127
40
0
18 Jan 2021
FedML: A Research Library and Benchmark for Federated Machine Learning
FedML: A Research Library and Benchmark for Federated Machine Learning
Chaoyang He
Songze Li
Jinhyun So
Xiao Zeng
Mi Zhang
...
Yang Liu
Ramesh Raskar
Qiang Yang
M. Annavaram
Salman Avestimehr
FedML
168
564
0
27 Jul 2020
1