Trading Data For Learning: Incentive Mechanism For On-Device Federated Learning

11 September 2020

Papers citing "Trading Data For Learning: Incentive Mechanism For On-Device Federated Learning"

19 / 19 papers shown

Title
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
Acoustic Model Optimization over Multiple Data Sources: Merging and Valuation Victor Junqiu Wei Weicheng Wang Di Jiang Conghui Tan Rongzhong Lian MoMe 35 0 0 21 Oct 2024
Federated Learning for Data Market: Shapley-UCB for Seller Selection and Incentives Kongyang Chen Zeming Xu FedML 26 0 0 10 Oct 2024
BFLN: A Blockchain-based Federated Learning Model for Non-IID Data Yang Li Chunhe Xia Dongchi Huang Xiaojian Li Tianbo Wang FedML 36 0 0 07 Jul 2024
Advances and Open Challenges in Federated Learning with Foundation Models Chao Ren Han Yu Hongyi Peng Xiaoli Tang Anran Li ... A. Tan Bo Zhao Xiaoxiao Li Zengxiang Li Qiang Yang FedML AIFin AI4CE 78 7 0 23 Apr 2024
Incentives in Private Collaborative Machine Learning Rachael Hwee Ling Sim Yehong Zhang Nghia Hoang Xinyi Xu K. H. Low Patrick Jaillet 41 5 0 02 Apr 2024
An Auction-based Marketplace for Model Trading in Federated Learning Yue Cui Liuyi Yao Yaliang Li Ziqian Chen Bolin Ding Xiaofang Zhou FedML 45 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 38 3 0 28 Nov 2023
Incentivized Communication for Federated Bandits Zhepei Wei Chuanhao Li Haifeng Xu Hongning Wang FedML 34 3 0 21 Sep 2023
Byzantine-Robust Federated Learning with Variance Reduction and Differential Privacy Zikai Zhang Rui Hu 41 11 0 07 Sep 2023
The Fair Value of Data Under Heterogeneous Privacy Constraints in Federated Learning Justin Singh Kang Ramtin Pedarsani Kannan Ramchandran FedML 29 5 0 30 Jan 2023
Stochastic Coded Federated Learning: Theoretical Analysis and Incentive Mechanism Design Yuchang Sun Jiawei Shao Yuyi Mao Songze Li Jun Zhang FedML 18 8 0 08 Nov 2022
A Snapshot of the Frontiers of Client Selection in Federated Learning Gergely Németh M. Lozano Novi Quadrianto Nuria Oliver FedML 110 14 0 27 Sep 2022
Collaboration in Participant-Centric Federated Learning: A Game-Theoretical Perspective Guangjing Huang Xu Chen Ouyang Tao Qian Ma Lin Chen Junshan Zhang FedML 17 30 0 25 Jul 2022
Incentive Mechanisms for Federated Learning: From Economic and Game Theoretic Perspective Xuezhen Tu Kun Zhu Nguyen Cong Luong Dusit Niyato Yang Zhang Juan Li FedML AI4CE 38 119 0 20 Nov 2021
Data Pricing in Machine Learning Pipelines Zicun Cong Xuan Luo J. Pei Feida Zhu Yong Zhang 28 46 0 18 Aug 2021
A Contract Theory based Incentive Mechanism for Federated Learning Mengmeng Tian Yuxin Chen Yuan Liu Zehui Xiong Cyril Leung Chunyan Miao FedML 13 23 0 12 Aug 2021
A Comprehensive Survey of Incentive Mechanism for Federated Learning Rongfei Zeng Chaobing Zeng Xingwei Wang Bo-wen Li Xiaowen Chu FedML 23 95 0 27 Jun 2021
A Survey on Data Pricing: from Economics to Data Science J. Pei 23 115 0 09 Sep 2020