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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
    FedMLTDI
ArXiv (abs)PDFHTML

Papers citing "Rewarding High-Quality Data via Influence Functions"

14 / 14 papers shown
Ten Challenging Problems in Federated Foundation Models
Ten Challenging Problems in Federated Foundation ModelsIEEE Transactions on Knowledge and Data Engineering (TKDE), 2025
Tao Fan
Hanlin Gu
Xuemei Cao
Chee Seng Chan
Qian Chen
...
Yu Zhang
Xiaojin Zhang
Zhenzhe Zheng
Lixin Fan
Qiang Yang
FedML
704
45
0
14 Feb 2025
History-Aware and Dynamic Client Contribution in Federated Learning
History-Aware and Dynamic Client Contribution in Federated Learning
Bishwamittra Ghosh
Debabrota Basu
Huazhu Fu
Wang Yuan
Renuga Kanagavelu
Jiang Jin Peng
Liu Yong
Goh Siow Mong Rick
Qingsong Wei
FedML
358
0
0
11 Mar 2024
Hire When You Need to: Gradual Participant Recruitment for Auction-based
  Federated Learning
Hire When You Need to: Gradual Participant Recruitment for Auction-based Federated LearningIEEE International Joint Conference on Neural Network (IJCNN), 2023
Xavier Tan
Han Yu
FedML
636
4
0
04 Oct 2023
GMValuator: Similarity-based Data Valuation for Generative Models
GMValuator: Similarity-based Data Valuation for Generative ModelsInternational Conference on Learning Representations (ICLR), 2023
Jiaxi Yang
Wenglong Deng
Benlin Liu
Yangsibo Huang
James Zou
Xiaoxiao Li
757
3
0
21 Apr 2023
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
FedMLTDI
259
190
0
05 Sep 2021
Data Pricing in Machine Learning Pipelines
Data Pricing in Machine Learning Pipelines
Zicun Cong
Xuan Luo
Jian Pei
Feida Zhu
Yong Zhang
279
70
0
18 Aug 2021
Is Shapley Value fair? Improving Client Selection for Mavericks in
  Federated Learning
Is Shapley Value fair? Improving Client Selection for Mavericks in Federated Learning
Jiyue Huang
Chi Hong
L. Chen
Stefanie Roos
FedML
173
12
0
20 Jun 2021
FedCCEA : A Practical Approach of Client Contribution Evaluation for
  Federated Learning
FedCCEA : A Practical Approach of Client Contribution Evaluation for Federated Learning
S. K. Shyn
Donghee Kim
Kwangsu Kim
FedML
173
30
0
04 Jun 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
299
95
0
20 Nov 2020
An Exploratory Analysis on Users' Contributions in Federated Learning
An Exploratory Analysis on Users' Contributions in Federated LearningInternational Conference on Trust, Privacy and Security in Intelligent Systems and Applications (ICPSISA), 2020
Jiyue Huang
Rania Talbi
Zilong Zhao
S. Bouchenak
L. Chen
Stefanie Roos
FedML
298
39
0
13 Nov 2020
A Survey on Data Pricing: from Economics to Data Science
A Survey on Data Pricing: from Economics to Data ScienceIEEE Transactions on Knowledge and Data Engineering (TKDE), 2020
Jian Pei
411
162
0
09 Sep 2020
Collaborative Fairness in Federated Learning
Collaborative Fairness in Federated Learning
Lingjuan Lyu
Xinyi Xu
Qian Wang
FedML
205
220
0
27 Aug 2020
Hierarchically Fair Federated Learning
Hierarchically Fair Federated Learning
Jingfeng Zhang
Cheng Li
A. Robles-Kelly
Mohan Kankanhalli
FedML
190
65
0
22 Apr 2020
Incentive Design for Efficient Federated Learning in Mobile Networks: A
  Contract Theory Approach
Incentive Design for Efficient Federated Learning in Mobile Networks: A Contract Theory ApproachAsia-Pacific Conference on Wearable Computing Systems (AWCS), 2019
Jiawen Kang
Zehui Xiong
Dusit Niyato
Han Yu
Ying-Chang Liang
Dong In Kim
FedML
254
242
0
16 May 2019
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