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SPDL: Blockchain-secured and Privacy-preserving Decentralized Learning

SPDL: Blockchain-secured and Privacy-preserving Decentralized Learning

Minghui Xu
Zong-bao Zou
Ye Cheng
Qin Hu
Dongxiao Yu
Xiuzhen Cheng
ArXiv (abs)PDFHTML

Papers citing "SPDL: Blockchain-secured and Privacy-preserving Decentralized Learning"

5 / 5 papers shown
Title
Blockchain and Federated Edge Learning for Privacy-Preserving Mobile Crowdsensing
Blockchain and Federated Edge Learning for Privacy-Preserving Mobile Crowdsensing
Qin Hu
Zhilin Wang
Minghui Xu
Xiuzhen Cheng
60
33
0
16 Oct 2021
Differential Privacy and Byzantine Resilience in SGD: Do They Add Up?
Differential Privacy and Byzantine Resilience in SGD: Do They Add Up?
R. Guerraoui
Nirupam Gupta
Rafael Pinot
Sébastien Rouault
John Stephan
55
30
0
16 Feb 2021
When Machine Learning Meets Privacy: A Survey and Outlook
When Machine Learning Meets Privacy: A Survey and Outlook
B. Liu
Ming Ding
Sina shaham
W. Rahayu
F. Farokhi
Zihuai Lin
68
288
0
24 Nov 2020
Federated Machine Learning: Concept and Applications
Federated Machine Learning: Concept and Applications
Qiang Yang
Yang Liu
Tianjian Chen
Yongxin Tong
FedML
75
2,318
0
13 Feb 2019
Byzantine-Robust Distributed Learning: Towards Optimal Statistical Rates
Byzantine-Robust Distributed Learning: Towards Optimal Statistical Rates
Dong Yin
Yudong Chen
Kannan Ramchandran
Peter L. Bartlett
OODFedML
121
1,500
0
05 Mar 2018

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