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Rewarding High-Quality Data via Influence Functions

Rewarding High-Quality Data via Influence Functions

30 August 2019
A. Richardson
Aris Filos-Ratsikas
Boi Faltings
    FedML
    TDI
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Papers citing "Rewarding High-Quality Data via Influence Functions"

5 / 5 papers shown
Title
Ten Challenging Problems in Federated Foundation Models
Ten Challenging Problems in Federated Foundation Models
Tao Fan
Hanlin Gu
Xuemei Cao
Chee Seng Chan
Qian Chen
...
Y. Zhang
Xiaojin Zhang
Zhenzhe Zheng
Lixin Fan
Qiang Yang
FedML
89
4
0
14 Feb 2025
GTG-Shapley: Efficient and Accurate Participant Contribution Evaluation
  in Federated Learning
GTG-Shapley: Efficient and Accurate Participant Contribution Evaluation in Federated Learning
Zelei Liu
Yuanyuan Chen
Han Yu
Yang Liu
Li-zhen Cui
FedML
TDI
27
124
0
05 Sep 2021
Data Pricing in Machine Learning Pipelines
Data Pricing in Machine Learning Pipelines
Zicun Cong
Xuan Luo
J. Pei
Feida Zhu
Yong Zhang
28
46
0
18 Aug 2021
A Reputation Mechanism Is All You Need: Collaborative Fairness and
  Adversarial Robustness in Federated Learning
A Reputation Mechanism Is All You Need: Collaborative Fairness and Adversarial Robustness in Federated Learning
Xinyi Xu
Lingjuan Lyu
FedML
31
69
0
20 Nov 2020
An Exploratory Analysis on Users' Contributions in Federated Learning
An Exploratory Analysis on Users' Contributions in Federated Learning
Jiyue Huang
Rania Talbi
Zilong Zhao
S. Bouchenak
L. Chen
Stefanie Roos
FedML
26
30
0
13 Nov 2020
1