Transparent Contribution Evaluation for Secure Federated Learning on
Blockchain

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Transparent Contribution Evaluation for Secure Federated Learning on Blockchain

26 January 2021

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Papers citing "Transparent Contribution Evaluation for Secure Federated Learning on Blockchain"

13 / 13 papers shown

Title
A Comprehensive Study of Shapley Value in Data Analytics Hong Lin Shixin Wan Zhongle Xie Ke Chen Meihui Zhang Lidan Shou Gang Chen 141 0 0 02 Dec 2024
A Note on "Efficient Task-Specific Data Valuation for Nearest Neighbor Algorithms" Wei Ping Yue Liu TDI 64 44 0 09 Apr 2023
2CP: Decentralized Protocols to Transparently Evaluate Contributivity in Blockchain Federated Learning Environments Harry Cai Daniel Rueckert Jonathan Passerat-Palmbach FedML 16 11 0 15 Nov 2020
FLAME: Differentially Private Federated Learning in the Shuffle Model Ruixuan Liu Yang Cao Hong Chen Ruoyang Guo Masatoshi Yoshikawa FedML 75 95 0 17 Sep 2020
A Principled Approach to Data Valuation for Federated Learning Tianhao Wang Johannes Rausch Ce Zhang R. Jia Basel Alomair FedML TDI 43 193 0 14 Sep 2020
FedSel: Federated SGD under Local Differential Privacy with Top-k Dimension Selection Ruixuan Liu Yang Cao Masatoshi Yoshikawa Hong Chen FedML 45 108 0 24 Mar 2020
Wireless Federated Learning with Local Differential Privacy Mohamed Seif Ravi Tandon Ming Li 105 171 0 12 Feb 2020
Collecting and Analyzing Multidimensional Data with Local Differential Privacy Ning Wang Xiaokui Xiao Yifan Yang Jun Zhao S. Hui Hyejin Shin Junbum Shin Ge Yu 48 325 0 28 Jun 2019
Deep Leakage from Gradients Ligeng Zhu Zhijian Liu Song Han FedML 100 2,225 0 21 Jun 2019
Data Shapley: Equitable Valuation of Data for Machine Learning Amirata Ghorbani James Zou TDI FedML 76 789 0 05 Apr 2019
Towards Efficient Data Valuation Based on the Shapley Value R. Jia David Dao Wei Ping F. Hubis Nicholas Hynes Nezihe Merve Gürel Yue Liu Ce Zhang Basel Alomair C. Spanos TDI 75 421 0 27 Feb 2019
Federated Machine Learning: Concept and Applications Qiang Yang Yang Liu Tianjian Chen Yongxin Tong FedML 78 2,322 0 13 Feb 2019
Communication-Efficient Learning of Deep Networks from Decentralized Data H. B. McMahan Eider Moore Daniel Ramage S. Hampson Blaise Agüera y Arcas FedML 406 17,559 0 17 Feb 2016