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Transparent Contribution Evaluation for Secure Federated Learning on
  Blockchain
v1v2 (latest)

Transparent Contribution Evaluation for Secure Federated Learning on Blockchain

26 January 2021
Shuaicheng Ma
Yang Cao
L. Xiong
    FedML
ArXiv (abs)PDFHTML

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

16 / 16 papers shown
Title
Crowd-SFT: Crowdsourcing for LLM Alignment
Crowd-SFT: Crowdsourcing for LLM Alignment
Alex Sotiropoulos
Sulyab Thottungal Valapu
Linus Lei
J. Coleman
Bhaskar Krishnamachari
ALM
82
0
0
04 Jun 2025
A Comprehensive Study of Shapley Value in Data Analytics
A Comprehensive Study of Shapley Value in Data Analytics
Hong Lin
Shixin Wan
Zhongle Xie
Ke Chen
Meihui Zhang
Lidan Shou
Gang Chen
162
0
0
02 Dec 2024
DPVS-Shapley:Faster and Universal Contribution Evaluation Component in
  Federated Learning
DPVS-Shapley:Faster and Universal Contribution Evaluation Component in Federated Learning
Ketin Yin
Zonghao Guo
ZhengHan Qin
FedML
52
0
0
19 Oct 2024
Advances and Open Challenges in Federated Learning with Foundation
  Models
Advances and Open Challenges in Federated Learning with Foundation Models
Chao Ren
Han Yu
Hongyi Peng
Xiaoli Tang
Anran Li
...
A. Tan
Bo Zhao
Xiaoxiao Li
Zengxiang Li
Qiang Yang
FedMLAIFinAI4CE
146
11
0
23 Apr 2024
Integration of Federated Learning and Blockchain in Healthcare: A
  Tutorial
Integration of Federated Learning and Blockchain in Healthcare: A Tutorial
Yahya Shahsavari
O. A. Dambri
Yaser Baseri
A. Hafid
Dimitrios Makrakis
OOD
100
2
0
15 Apr 2024
Enhancing Trust and Privacy in Distributed Networks: A Comprehensive
  Survey on Blockchain-based Federated Learning
Enhancing Trust and Privacy in Distributed Networks: A Comprehensive Survey on Blockchain-based Federated Learning
Ji Liu
Chunlu Chen
Yu Li
Lin Sun
Yulun Song
Jingbo Zhou
Bo Jing
Dejing Dou
84
10
0
28 Mar 2024
Contribution Evaluation in Federated Learning: Examining Current
  Approaches
Contribution Evaluation in Federated Learning: Examining Current Approaches
Vasilis Siomos
Jonathan Passerat-Palmbach
FedML
70
2
0
16 Nov 2023
Exploring Data Redundancy in Real-world Image Classification through
  Data Selection
Exploring Data Redundancy in Real-world Image Classification through Data Selection
Zhenyu Tang
Shaoting Zhang
Xiaosong Wang
42
3
0
25 Jun 2023
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
106
13
0
14 May 2023
Blockchained Federated Learning for Internet of Things: A Comprehensive
  Survey
Blockchained Federated Learning for Internet of Things: A Comprehensive Survey
Yanna Jiang
Baihe Ma
Xu Wang
Ping Yu
Guangsheng Yu
Zhe Wang
Weiquan Ni
R. Liu
AI4CE
83
28
0
08 May 2023
Proof-of-Contribution-Based Design for Collaborative Machine Learning on
  Blockchain
Proof-of-Contribution-Based Design for Collaborative Machine Learning on Blockchain
Baturalp Buyukates
Chaoyang He
Shanshan Han
Zhiyong Fang
Yupeng Zhang
Jieyi Long
A. Farahanchi
Salman Avestimehr
OOD
65
7
0
27 Feb 2023
Towards Interpretable Federated Learning
Towards Interpretable Federated Learning
Anran Li
Rui Liu
Ming Hu
Anh Tuan Luu
Han Yu
AI4CEFedML
108
15
0
27 Feb 2023
Secure Shapley Value for Cross-Silo Federated Learning (Technical
  Report)
Secure Shapley Value for Cross-Silo Federated Learning (Technical Report)
Shuyuan Zheng
Yang Cao
Masatoshi Yoshikawa
FedML
105
25
0
11 Sep 2022
Decentral and Incentivized Federated Learning Frameworks: A Systematic
  Literature Review
Decentral and Incentivized Federated Learning Frameworks: A Systematic Literature Review
Leon Witt
Mathis Heyer
Kentaroh Toyoda
Wojciech Samek
Dan Li
FedML
111
48
0
07 May 2022
Incentive Mechanisms for Federated Learning: From Economic and Game
  Theoretic Perspective
Incentive Mechanisms for Federated Learning: From Economic and Game Theoretic Perspective
Xuezhen Tu
Kun Zhu
Nguyen Cong Luong
Dusit Niyato
Yang Zhang
Juan Li
FedMLAI4CE
95
123
0
20 Nov 2021
Federated Learning Meets Blockchain in Edge Computing: Opportunities and
  Challenges
Federated Learning Meets Blockchain in Edge Computing: Opportunities and Challenges
Dinh C. Nguyen
Ming Ding
Quoc-Viet Pham
P. Pathirana
Long Bao
Jun Seneviratne
Jun Li
Dusit Niyato
Life Fellow Ieee Poor
FedML
113
435
0
05 Apr 2021
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