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DPVS-Shapley:Faster and Universal Contribution Evaluation Component in
  Federated Learning

DPVS-Shapley:Faster and Universal Contribution Evaluation Component in Federated Learning

19 October 2024
Ketin Yin
Zonghao Guo
ZhengHan Qin
    FedML
ArXiv (abs)PDFHTML

Papers citing "DPVS-Shapley:Faster and Universal Contribution Evaluation Component in Federated Learning"

6 / 6 papers shown
Title
Transparent Contribution Evaluation for Secure Federated Learning on
  Blockchain
Transparent Contribution Evaluation for Secure Federated Learning on Blockchain
Shuaicheng Ma
Yang Cao
L. Xiong
FedML
63
37
0
26 Jan 2021
A Distributional Framework for Data Valuation
A Distributional Framework for Data Valuation
Amirata Ghorbani
Michael P. Kim
James Zou
TDI
52
132
0
27 Feb 2020
FedCoin: A Peer-to-Peer Payment System for Federated Learning
FedCoin: A Peer-to-Peer Payment System for Federated Learning
Yuan Liu
Shuai Sun
Zhengpeng Ai
Shuangfeng Zhang
Zelei Liu
Han Yu
FedML
79
115
0
26 Feb 2020
Measure Contribution of Participants in Federated Learning
Measure Contribution of Participants in Federated Learning
Guan Wang
Charlie Xiaoqian Dang
Ziye Zhou
FedML
93
200
0
17 Sep 2019
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning
  Algorithms
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms
Han Xiao
Kashif Rasul
Roland Vollgraf
285
8,926
0
25 Aug 2017
Communication-Efficient Learning of Deep Networks from Decentralized
  Data
Communication-Efficient Learning of Deep Networks from Decentralized Data
H. B. McMahan
Eider Moore
Daniel Ramage
S. Hampson
Blaise Agüera y Arcas
FedML
408
17,615
0
17 Feb 2016
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