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Scalable and Communication-efficient Decentralized Federated Edge
  Learning with Multi-blockchain Framework

Scalable and Communication-efficient Decentralized Federated Edge Learning with Multi-blockchain Framework

10 August 2020
Jiawen Kang
Zehui Xiong
Chunxiao Jiang
Yi Liu
Song Guo
Yang Zhang
Dusit Niyato
Cyril Leung
C. Miao
    FedML
ArXivPDFHTML

Papers citing "Scalable and Communication-efficient Decentralized Federated Edge Learning with Multi-blockchain Framework"

3 / 3 papers shown
Title
A Survey of Federated Evaluation in Federated Learning
A Survey of Federated Evaluation in Federated Learning
Behnaz Soltani
Yipeng Zhou
Venus Haghighi
John C. S. Lui
FedML
28
12
0
14 May 2023
DFL: High-Performance Blockchain-Based Federated Learning
DFL: High-Performance Blockchain-Based Federated Learning
Yongding Tian
Zhuoran Guo
Jiaxuan Zhang
Zaid Al-Ars
OOD
FedML
29
10
0
28 Oct 2021
Resource-constrained Federated Edge Learning with Heterogeneous Data:
  Formulation and Analysis
Resource-constrained Federated Edge Learning with Heterogeneous Data: Formulation and Analysis
Yi Liu
Yuanshao Zhu
James J. Q. Yu
FedML
17
28
0
14 Oct 2021
1