Incentive Mechanisms for Federated Learning: From Economic and Game Theoretic Perspective

20 November 2021

Xuezhen Tu

Kun Zhu

Nguyen Cong Luong

Dusit Niyato

Yang Zhang

Papers citing "Incentive Mechanisms for Federated Learning: From Economic and Game Theoretic Perspective"

43 / 43 papers shown

Title
Federated learning, ethics, and the double black box problem in medical AI Joshua Hatherley Anders Søgaard Angela Ballantyne Ruben Pauwels FedML 58 0 0 29 Apr 2025
CARE: Compatibility-Aware Incentive Mechanisms for Federated Learning with Budgeted Requesters Xiang Liu Hau Chan Minming Li Xianlong Zeng Chenchen Fu Weiwei Wu FedML 33 0 0 22 Apr 2025
Energy Minimization for Participatory Federated Learning in IoT Analyzed via Game Theory Alessandro Buratto Elia Guerra M. Miozzo Paolo Dini Leonardo Badia 50 1 0 27 Mar 2025
A Potential Game Perspective in Federated Learning Kang Liu Ziqi Wang Enrique Zuazua FedML 65 0 0 18 Nov 2024
Benchmarking Data Heterogeneity Evaluation Approaches for Personalized Federated Learning Zhilong Li Xiaohu Wu Xiaoli Tang Tiantian He Yew-Soon Ong Mengmeng Chen Qiqi Liu Qicheng Lao Han Yu FedML 40 1 0 09 Oct 2024
Privacy-Preserving and Trustworthy Deep Learning for Medical Imaging Kiarash Sedghighadikolaei Attila A Yavuz 39 1 0 29 Jun 2024
FedStaleWeight: Buffered Asynchronous Federated Learning with Fair Aggregation via Staleness Reweighting Jeffrey Ma Alan Tu Yiling Chen Vijay Janapa Reddi FedML 40 0 0 05 Jun 2024
FACT or Fiction: Can Truthful Mechanisms Eliminate Federated Free Riding? Marco Bornstein Amrit Singh Bedi Abdirisak Mohamed Furong Huang FedML 44 0 0 22 May 2024
A Universal Metric of Dataset Similarity for Cross-silo Federated Learning Ahmed Elhussein Gamze Gursoy FedML OOD 36 2 0 29 Apr 2024
Intelligent Agents for Auction-based Federated Learning: A Survey Xiaoli Tang Han Yu Xiaoxiao Li Sarit Kraus FedML 36 7 0 20 Apr 2024
Enhancing Trust and Privacy in Distributed Networks: A Comprehensive Survey on Blockchain-based Federated Learning Ji Liu Chunlu Chen Yu Li Lin Sun Yulun Song Jingbo Zhou Bo Jing Dejing Dou 48 9 0 28 Mar 2024
Federated Learning: Attacks, Defenses, Opportunities, and Challenges Ghazaleh Shirvani Saeid Ghasemshirazi Behzad Beigzadeh FedML 57 3 0 10 Mar 2024
A Bargaining-based Approach for Feature Trading in Vertical Federated Learning Yue Cui Liuyi Yao Zitao Li Yaliang Li Bolin Ding Xiaofang Zhou FedML 46 1 0 23 Feb 2024
Incentivized Truthful Communication for Federated Bandits Zhepei Wei Chuanhao Li Tianze Ren Haifeng Xu Hongning Wang FedML 32 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 45 3 0 02 Feb 2024
Towards Urban General Intelligence: A Review and Outlook of Urban Foundation Models Weijiao Zhang Jindong Han Zhao Xu Hang Ni Hao Liu Hui Xiong Hui Xiong AI4CE 77 15 0 30 Jan 2024
P3LS: Partial Least Squares under Privacy Preservation Du Nguyen Duy Ramin Nikzad‐Langerodi 41 0 0 26 Jan 2024
PPBFL: A Privacy Protected Blockchain-based Federated Learning Model Yang Li Chunhe Xia Wanshuang Lin Tianbo Wang 27 3 0 02 Jan 2024
Towards Realistic Mechanisms That Incentivize Federated Participation and Contribution Marco Bornstein Amrit Singh Bedi Anit Kumar Sahu Furqan Khan Furong Huang FedML 19 0 0 20 Oct 2023
Digital Ethics in Federated Learning Liangqi Yuan Ziran Wang Christopher Brinton 25 4 0 04 Oct 2023
Collaborative Distributed Machine Learning Sumit Kumar Jha Patrick Lincoln Sascha Rank Ali Sunyaev 32 1 0 28 Sep 2023
Efficient Core-selecting Incentive Mechanism for Data Sharing in Federated Learning Mengda Ji Genjiu Xu Jianjun Ge Mingqiang Li FedML 19 0 0 21 Sep 2023
Incentivized Communication for Federated Bandits Zhepei Wei Chuanhao Li Haifeng Xu Hongning Wang FedML 34 3 0 21 Sep 2023
Hierarchical Federated Learning Incentivization for Gas Usage Estimation Has Sun Xiaoli Tang Che-Sheng Yang Zhenpeng Yu Xiuli Wang Qijie Ding Zengxiang Li Han Yu FedML 30 1 0 01 Jul 2023
Fairness and Privacy-Preserving in Federated Learning: A Survey Taki Hasan Rafi Faiza Anan Noor Tahmid Hussain Dong-Kyu Chae FedML 35 39 0 14 Jun 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
Strategic Data Sharing between Competitors Nikita Tsoy Nikola Konstantinov FedML 42 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
Trustworthy Federated Learning: A Survey A. Tariq M. Serhani F. Sallabi Tariq Qayyum E. Barka K. Shuaib FedML 35 9 0 19 May 2023
Incentive Mechanism Design for Unbiased Federated Learning with Randomized Client Participation Bing Luo Yutong Feng Shiqiang Wang Jianwei Huang Leandros Tassiulas FedML 29 10 0 17 Apr 2023
A Game-theoretic Framework for Privacy-preserving Federated Learning Xiaojin Zhang Lixin Fan Si-Yi Wang Wenjie Li Kai Chen Qiang Yang FedML 23 4 0 11 Apr 2023
iDML: Incentivized Decentralized Machine Learning Haoxiang Yu Hsiao-Yuan Chen Sangsu Lee S. Vishwanath J. Zheng Christine Julien FedML 16 6 0 10 Apr 2023
Cross-Fusion Rule for Personalized Federated Learning Wangzhuo Yang Bo Chen Yijun Shen Jiong Liu Li Yu FedML 17 0 0 06 Feb 2023
Free-Rider Games for Federated Learning with Selfish Clients in NextG Wireless Networks Y. Sagduyu FedML 24 8 0 21 Dec 2022
Distributed Stochastic Gradient Descent with Cost-Sensitive and Strategic Agents Abdullah Basar Akbay C. Tepedelenlioğlu FedML 10 0 0 05 Dec 2022
Decentral and Incentivized Federated Learning Frameworks: A Systematic Literature Review Leon Witt Mathis Heyer Kentaroh Toyoda Wojciech Samek Dan Li FedML 33 47 0 07 May 2022
Online Auction-Based Incentive Mechanism Design for Horizontal Federated Learning with Budget Constraint Jingwen Zhang Yuezhou Wu Rong Pan FedML 76 15 0 22 Jan 2022
Analysis and Evaluation of Synchronous and Asynchronous FLchain F. Wilhelmi L. Giupponi Paolo Dini 23 5 0 15 Dec 2021
Models of fairness in federated learning Kate Donahue Jon M. Kleinberg FedML 40 9 0 01 Dec 2021
UAV-assisted Online Machine Learning over Multi-Tiered Networks: A Hierarchical Nested Personalized Federated Learning Approach Su Wang Seyyedali Hosseinalipour M. Gorlatova Christopher G. Brinton M. Chiang 38 36 0 29 Jun 2021
Efficient Client Contribution Evaluation for Horizontal Federated Learning Jie Zhao Xinghua Zhu Jianzong Wang Jing Xiao FedML 36 28 0 26 Feb 2021
Bandwidth Allocation for Multiple Federated Learning Services in Wireless Edge Networks Jie Xu Heqiang Wang Lixing Chen FedML 56 43 0 10 Jan 2021
Collaborative Machine Learning with Incentive-Aware Model Rewards Rachael Hwee Ling Sim Yehong Zhang M. Chan Hsiang Low FedML 117 123 0 24 Oct 2020