ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1911.09052
  4. Cited By
Collaborative Machine Learning Markets with Data-Replication-Robust
  Payments

Collaborative Machine Learning Markets with Data-Replication-Robust Payments

8 November 2019
O. Ohrimenko
Shruti Tople
Sebastian Tschiatschek
    OODFedML
ArXiv (abs)PDFHTML

Papers citing "Collaborative Machine Learning Markets with Data-Replication-Robust Payments"

11 / 11 papers shown
Title
Data Overvaluation Attack and Truthful Data Valuation in Federated Learning
Data Overvaluation Attack and Truthful Data Valuation in Federated Learning
Shuyuan Zheng
Sudong Cai
Chuan Xiao
Yang Cao
Jianbin Qin
Masatoshi Yoshikawa
Makoto Onizuka
TDIAAML
171
0
0
01 Feb 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
182
0
0
02 Dec 2024
Bayesian Regression Markets
Bayesian Regression Markets
Thomas Falconer
J. Kazempour
Pierre Pinson
147
3
0
23 Oct 2023
A Note on "Efficient Task-Specific Data Valuation for Nearest Neighbor
  Algorithms"
A Note on "Efficient Task-Specific Data Valuation for Nearest Neighbor Algorithms"
Wei Ping
Yue Liu
TDI
88
44
0
09 Apr 2023
Probably Approximate Shapley Fairness with Applications in Machine
  Learning
Probably Approximate Shapley Fairness with Applications in Machine Learning
Zijian Zhou
Xinyi Xu
Rachael Hwee Ling Sim
Chuan-Sheng Foo
K. H. Low
TDI
70
10
0
01 Dec 2022
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
111
25
0
11 Sep 2022
Incentivizing Collaboration in Machine Learning via Synthetic Data
  Rewards
Incentivizing Collaboration in Machine Learning via Synthetic Data Rewards
Sebastian Shenghong Tay
Xinyi Xu
Chuan-Sheng Foo
Bryan Kian Hsiang Low
SyDa
65
32
0
17 Dec 2021
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
97
124
0
20 Nov 2021
Data Pricing in Machine Learning Pipelines
Data Pricing in Machine Learning Pipelines
Zicun Cong
Xuan Luo
J. Pei
Feida Zhu
Yong Zhang
60
49
0
18 Aug 2021
Collaborative Machine Learning with Incentive-Aware Model Rewards
Collaborative Machine Learning with Incentive-Aware Model Rewards
Rachael Hwee Ling Sim
Yehong Zhang
M. Chan
Hsiang Low
FedML
176
126
0
24 Oct 2020
Replication-Robust Payoff-Allocation for Machine Learning Data Markets
Replication-Robust Payoff-Allocation for Machine Learning Data Markets
Dongge Han
Michael Wooldridge
A. Rogers
O. Ohrimenko
Sebastian Tschiatschek
91
6
0
25 Jun 2020
1