Mechanisms that Incentivize Data Sharing in Federated Learning

10 July 2022

Sai Praneeth Karimireddy

Papers citing "Mechanisms that Incentivize Data Sharing in Federated Learning"

27 / 27 papers shown

Title
Incentivizing Inclusive Contributions in Model Sharing Markets Enpei Zhang Jingyi Chai Rui Ye Yanfeng Wang Siheng Chen TDI FedML 131 0 0 05 May 2025
CoRAG: Collaborative Retrieval-Augmented Generation Aashiq Muhamed Mona Diab Virginia Smith 25 0 0 02 Apr 2025
Noise-Aware Algorithm for Heterogeneous Differentially Private Federated Learning Saber Malekmohammadi Yaoliang Yu Yang Cao FedML 83 5 0 17 Feb 2025
Paid with Models: Optimal Contract Design for Collaborative Machine Learning Bingchen Wang Zhaoxuan Wu Fusheng Liu Bryan Kian Hsiang Low 78 0 0 03 Jan 2025
Free-Rider and Conflict Aware Collaboration Formation for Cross-Silo Federated Learning Mengmeng Chen Xiaohu Wu Xiaoli Tang Tiantian He Y. Ong Qiqi Liu Qicheng Lao Han Yu FedML 24 3 0 25 Oct 2024
Mechanisms for Data Sharing in Collaborative Causal Inference (Extended Version) Björn Filter Ralf Möller Özgür L. Özçep FedML 38 0 0 04 Jul 2024
Defection-Free Collaboration between Competitors in a Learning System Mariel A. Werner Sai Praneeth Karimireddy Michael I. Jordan FedML 24 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 36 0 0 22 May 2024
Incentivized Truthful Communication for Federated Bandits Zhepei Wei Chuanhao Li Tianze Ren Haifeng Xu Hongning Wang FedML 30 0 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 37 3 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 33 3 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 11 0 0 20 Oct 2023
Efficient Core-selecting Incentive Mechanism for Data Sharing in Federated Learning Mengda Ji Genjiu Xu Jianjun Ge Mingqiang Li FedML 11 0 0 21 Sep 2023
Incentivized Communication for Federated Bandits Zhepei Wei Chuanhao Li Haifeng Xu Hongning Wang FedML 26 3 0 21 Sep 2023
Blockchain-empowered Federated Learning for Healthcare Metaverses: User-centric Incentive Mechanism with Optimal Data Freshness Jiawen Kang Jinbo Wen Dongdong Ye Bingkun Lai Tianhao Wu Zehui Xiong Jiangtian Nie Dusit Niyato Yang Zhang Shengli Xie 9 52 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 21 3 0 25 Jul 2023
Tackling Computational Heterogeneity in FL: A Few Theoretical Insights Adnane Mansour Gaia Carenini Alexandre Duplessis FedML 18 0 0 12 Jul 2023
Evaluating and Incentivizing Diverse Data Contributions in Collaborative Learning Baihe Huang Sai Praneeth Karimireddy Michael I. Jordan FedML 11 6 0 08 Jun 2023
No Bidding, No Regret: Pairwise-Feedback Mechanisms for Digital Goods and Data Auctions Zachary Robertson Oluwasanmi Koyejo 10 0 0 02 Jun 2023
Strategic Data Sharing between Competitors Nikita Tsoy Nikola Konstantinov FedML 26 5 0 25 May 2023
Incentivizing Honesty among Competitors in Collaborative Learning and Optimization Florian E. Dorner Nikola Konstantinov Georgi Pashaliev Martin Vechev FedML 22 5 0 25 May 2023
The Fair Value of Data Under Heterogeneous Privacy Constraints in Federated Learning Justin Kang Ramtin Pedarsani K. Ramchandran FedML 21 5 0 30 Jan 2023
Models of fairness in federated learning Kate Donahue Jon M. Kleinberg FedML 33 9 0 01 Dec 2021
Collaborative Machine Learning with Incentive-Aware Model Rewards Rachael Hwee Ling Sim Yehong Zhang M. Chan Hsiang Low FedML 109 123 0 24 Oct 2020
The Future of Digital Health with Federated Learning Nicola Rieke Jonny Hancox Wenqi Li Fausto Milletari H. Roth ... Ronald M. Summers Andrew Trask Daguang Xu Maximilian Baust M. Jorge Cardoso OOD 174 1,705 0 18 Mar 2020
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 226 4,460 0 23 Jan 2020
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 296 39,194 0 01 Sep 2014