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2207.04557
Cited By
Mechanisms that Incentivize Data Sharing in Federated Learning
10 July 2022
Sai Praneeth Karimireddy
Wenshuo Guo
Michael I. Jordan
FedML
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Papers citing
"Mechanisms that Incentivize Data Sharing in Federated Learning"
34 / 34 papers shown
Research in Collaborative Learning Does Not Serve Cross-Silo Federated Learning in Practice
Kevin Kuo
Chhavi Yadav
Virginia Smith
FedML
226
1
0
14 Oct 2025
Incentivizing Time-Aware Fairness in Data Sharing
Jiangwei Chen
Kieu Thao Nguyen Pham
Rachael Hwee Ling Sim
Arun Verma
Zhaoxuan Wu
Chuan-Sheng Foo
Bryan Kian Hsiang Low
FedML
236
0
0
10 Oct 2025
Incentives in Federated Learning with Heterogeneous Agents
Ariel D. Procaccia
Han Shao
Itai Shapira
FedML
226
2
0
25 Sep 2025
On the Existence and Complexity of Core-Stable Data Exchanges
Jiaxin Song
Pooja Kulkarni
Parnian Shahkar
Bhaskar Ray Chaudhury
77
4
0
19 Sep 2025
A Mechanism for Mutual Fairness in Cooperative Games with Replicable Resources -- Extended Version
Björn Filter
Ralf Möller
Özgür L. Özçep
178
0
0
19 Aug 2025
Incentivizing High-quality Participation From Federated Learning Agents
Jinlong Pang
Jiaheng Wei
Yifan Hua
Chen Qian
Yang Liu
FedML
255
0
0
20 Jun 2025
A Cramér-von Mises Approach to Incentivizing Truthful Data Sharing
Alex Clinton
Thomas Zeng
Yiding Chen
Xiaojin Zhu
Kirthevasan Kandasamy
210
1
0
08 Jun 2025
Incentivize Contribution and Learn Parameters Too: Federated Learning with Strategic Data Owners
Drashthi Doshi
Aditya Vema Reddy Kesari
Avishek Ghosh
Avishek Ghosh
Suhas S Kowshik
FedML
TDI
484
0
0
17 May 2025
Incentivizing Inclusive Contributions in Model Sharing Markets
Nature Communications (Nat Commun), 2025
Enpei Zhang
Jingyi Chai
Guangyi Liu
Yanfeng Wang
Siheng Chen
TDI
FedML
1.0K
3
0
05 May 2025
CoRAG: Collaborative Retrieval-Augmented Generation
North American Chapter of the Association for Computational Linguistics (NAACL), 2025
Aashiq Muhamed
Mona Diab
Virginia Smith
228
0
0
02 Apr 2025
Incentive Analysis for Agent Participation in Federated Learning
Lihui Yi
Xiaochun Niu
Ermin Wei
FedML
268
3
0
13 Mar 2025
Noise-Aware Algorithm for Heterogeneous Differentially Private Federated Learning
International Conference on Machine Learning (ICML), 2024
Saber Malekmohammadi
Yaoliang Yu
Yang Cao
FedML
503
10
0
17 Feb 2025
Paid with Models: Optimal Contract Design for Collaborative Machine Learning
AAAI Conference on Artificial Intelligence (AAAI), 2024
Bingchen Wang
Zhaoxuan Wu
Fusheng Liu
Bryan Kian Hsiang Low
391
1
0
03 Jan 2025
Free-Rider and Conflict Aware Collaboration Formation for Cross-Silo Federated Learning
Neural Information Processing Systems (NeurIPS), 2024
Mengmeng Chen
Xiaohu Wu
Xiaoli Tang
Tiantian He
Yew-Soon Ong
Qiqi Liu
Qicheng Lao
Han Yu
FedML
405
14
0
25 Oct 2024
Mechanisms for Data Sharing in Collaborative Causal Inference (Extended Version)
Björn Filter
Ralf Möller
Özgür L. Özçep
FedML
196
0
0
04 Jul 2024
Defection-Free Collaboration between Competitors in a Learning System
Mariel A. Werner
Sai Praneeth Karimireddy
Michael I. Jordan
FedML
284
1
0
22 Jun 2024
FACT or Fiction: Can Truthful Mechanisms Eliminate Federated Free Riding?
Marco Bornstein
Amrit Singh Bedi
Abdirisak Mohamed
Furong Huang
FedML
422
3
0
22 May 2024
On Three-Layer Data Markets
Social Science Research Network (SSRN), 2024
Alireza Fallah
Michael I. Jordan
A. Makhdoumi
Azarakhsh Malekian
314
9
0
15 Feb 2024
Incentivized Truthful Communication for Federated Bandits
Zhepei Wei
Chuanhao Li
Tianze Ren
Haifeng Xu
Hongning Wang
FedML
264
2
0
07 Feb 2024
An Auction-based Marketplace for Model Trading in Federated Learning
Yue Cui
Liuyi Yao
Yaliang Li
Ziqian Chen
Bolin Ding
Xiaofang Zhou
FedML
231
7
0
02 Feb 2024
On the Effect of Defections in Federated Learning and How to Prevent Them
Minbiao Han
Kumar Kshitij Patel
Han Shao
Lingxiao Wang
FedML
303
4
0
28 Nov 2023
Towards Realistic Mechanisms That Incentivize Federated Participation and Contribution
Marco Bornstein
Amrit Singh Bedi
Anit Kumar Sahu
Furqan Khan
Furong Huang
FedML
410
0
0
20 Oct 2023
Efficient Core-selecting Incentive Mechanism for Data Sharing in Federated Learning
IEEE Transactions on Computational Social Systems (IEEE TCSS), 2023
Mengda Ji
Genjiu Xu
Jianjun Ge
Mingqiang Li
FedML
261
1
0
21 Sep 2023
Incentivized Communication for Federated Bandits
Neural Information Processing Systems (NeurIPS), 2023
Zhepei Wei
Chuanhao Li
Haifeng Xu
Hongning Wang
FedML
336
4
0
21 Sep 2023
Blockchain-empowered Federated Learning for Healthcare Metaverses: User-centric Incentive Mechanism with Optimal Data Freshness
IEEE Transactions on Cognitive Communications and Networking (IEEE TCCN), 2023
Jiawen Kang
Jinbo Wen
Dongdong Ye
Bingkun Lai
Tianhao Wu
Zehui Xiong
Jiangtian Nie
Dusit Niyato
Yang Zhang
Shengli Xie
178
79
0
29 Jul 2023
Scaff-PD: Communication Efficient Fair and Robust Federated Learning
Yaodong Yu
Sai Praneeth Karimireddy
Yi-An Ma
Michael I. Jordan
FedML
414
5
0
25 Jul 2023
Tackling Computational Heterogeneity in FL: A Few Theoretical Insights
Adnane Mansour
Gaia Carenini
Alexandre Duplessis
FedML
322
1
0
12 Jul 2023
Evaluating and Incentivizing Diverse Data Contributions in Collaborative Learning
Baihe Huang
Sai Praneeth Karimireddy
Sai Li
FedML
208
10
0
08 Jun 2023
No Bidding, No Regret: Pairwise-Feedback Mechanisms for Digital Goods and Data Auctions
Zachary Robertson
Oluwasanmi Koyejo
162
0
0
02 Jun 2023
Incentivizing Honesty among Competitors in Collaborative Learning and Optimization
Neural Information Processing Systems (NeurIPS), 2023
Florian E. Dorner
Nikola Konstantinov
Georgi Pashaliev
Martin Vechev
FedML
AAML
521
13
0
25 May 2023
Strategic Data Sharing between Competitors
Neural Information Processing Systems (NeurIPS), 2023
Nikita Tsoy
Nikola Konstantinov
FedML
354
12
0
25 May 2023
The Fair Value of Data Under Heterogeneous Privacy Constraints in Federated Learning
Justin Singh Kang
Ramtin Pedarsani
Kannan Ramchandran
FedML
365
6
0
30 Jan 2023
Models of fairness in federated learning
Kate Donahue
Jon M. Kleinberg
FedML
560
12
0
01 Dec 2021
Collaborative Machine Learning with Incentive-Aware Model Rewards
International Conference on Machine Learning (ICML), 2020
Rachael Hwee Ling Sim
Yehong Zhang
M. Chan
Hsiang Low
FedML
387
158
0
24 Oct 2020
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