FMore: An Incentive Scheme of Multi-dimensional Auction for Federated Learning in MEC

22 February 2020

Papers citing "FMore: An Incentive Scheme of Multi-dimensional Auction for Federated Learning in MEC"

22 / 22 papers shown

Title
ACE: A Model Poisoning Attack on Contribution Evaluation Methods in Federated Learning Zhangchen Xu Fengqing Jiang Luyao Niu Jinyuan Jia Bo Li Radha Poovendran FedML 55 1 0 31 May 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
Optimization of Federated Learning's Client Selection for Non-IID Data Based on Grey Relational Analysis Shuaijun Chen Omid Tavallaie Michael Henri Hambali S. M. Zandavi Hamed Haddadi Nicholas D. Lane Song Guo Albert Y. Zomaya FedML 34 1 0 12 Oct 2023
Blockchain-based Optimized Client Selection and Privacy Preserved Framework for Federated Learning Elizabeth Salesky Susanne Burger Jan Niehues Huansheng Ning FedML 8 0 0 25 Jul 2023
Incentive Allocation in Vertical Federated Learning Based on Bankruptcy Problem Afsana Khan M. T. Thij F. Thuijsman A. Wilbik FedML 28 2 0 07 Jul 2023
A Framework for Incentivized Collaborative Learning Xinran Wang Qi Le Ahmad Faraz Khan Jie Ding A. Anwar FedML 37 4 0 26 May 2023
Utility-Maximizing Bidding Strategy for Data Consumers in Auction-based Federated Learning Xiaoli Tang Han Yu FedML 38 17 0 11 May 2023
BARA: Efficient Incentive Mechanism with Online Reward Budget Allocation in Cross-Silo Federated Learning Yunchao Yang Yipeng Zhou Miao Hu Di Wu Quan.Z Sheng FedML 21 7 0 09 May 2023
FedDebug: Systematic Debugging for Federated Learning Applications Waris Gill A. Anwar Muhammad Ali Gulzar FedML 31 11 0 09 Jan 2023
Joint Optimization of Energy Consumption and Completion Time in Federated Learning Xinyu Zhou Jun Zhao Huimei Han C. Guet FedML 51 27 0 29 Sep 2022
A Snapshot of the Frontiers of Client Selection in Federated Learning Gergely Németh M. Lozano Novi Quadrianto Nuria Oliver FedML 107 14 0 27 Sep 2022
Auction-Based Ex-Post-Payment Incentive Mechanism Design for Horizontal Federated Learning with Reputation and Contribution Measurement Jingwen Zhang Yuezhou Wu Rong Pan FedML 32 19 0 07 Jan 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 35 119 0 20 Nov 2021
Towards Fairness-Aware Federated Learning Yuxin Shi Han Yu Cyril Leung FedML 21 79 0 02 Nov 2021
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-Free Evaluation of User Contributions in Federated Learning Hongtao Lv Zhenzhe Zheng Tie-Mei Luo Fan Wu Shaojie Tang Lifeng Hua Rongfei Jia Chengfei Lv FedML 15 23 0 24 Aug 2021
Faithful Edge Federated Learning: Scalability and Privacy Meng Zhang Ermin Wei R. Berry FedML 26 44 0 30 Jun 2021
Reward-Based 1-bit Compressed Federated Distillation on Blockchain Leon Witt Usama Zafar KuoYeh Shen Felix Sattler Dan Li Wojciech Samek FedML 35 4 0 27 Jun 2021
LocKedge: Low-Complexity Cyberattack Detection in IoT Edge Computing Truong Thu Huong Ta Phuong Bac D. M. Long B. D. Thang N. T. Binh T. D. Luong Tran Kim Phuc 31 43 0 28 Nov 2020
An Incentive Mechanism for Federated Learning in Wireless Cellular network: An Auction Approach T. Le N. H. Tran Y. Tun Minh N. H. Nguyen Shashi Raj Pandey Zhu Han Choong Seon Hong FedML 15 152 0 22 Sep 2020
Estimation of Individual Device Contributions for Incentivizing Federated Learning Takayuki Nishio R. Shinkuma N. Mandayam FedML 14 31 0 20 Sep 2020
Adaptive Federated Learning in Resource Constrained Edge Computing Systems Shiqiang Wang Tiffany Tuor Theodoros Salonidis K. Leung C. Makaya T. He Kevin S. Chan 144 1,687 0 14 Apr 2018