A Comprehensive Survey of Incentive Mechanism for Federated Learning

27 June 2021

Papers citing "A Comprehensive Survey of Incentive Mechanism for Federated Learning"

29 / 29 papers shown

Title
Incentivizing Inclusive Contributions in Model Sharing MarketsNature Communications (Nat Commun), 2025 Enpei Zhang Jingyi Chai Guangyi Liu Yanfeng Wang Siheng Chen TDI FedML 830 2 0 05 May 2025
Learning with Limited Shared Information in Multi-agent Multi-armed BanditAdaptive Agents and Multi-Agent Systems (AAMAS), 2025 Junning Shao Siwei Wang Zhixuan Fang 344 0 0 24 Feb 2025
Artificial Intelligence for Secured Information Systems in Smart Cities: Collaborative IoT Computing with Deep Reinforcement Learning and Blockchain Amin Zakaie Far Mohammad Zakaie Far Sonia Gharibzadeh Shiva Zangeneh Leila Amini Morteza Rahimi Morteza Rahimi Saeed Asadi 231 12 0 24 Sep 2024
Threats and Defenses in Federated Learning Life Cycle: A Comprehensive Survey and Challenges Yanli Li Zhongliang Guo Nan Yang Huaming Chen Dong Yuan Weiping Ding FedML 237 13 0 09 Jul 2024
Federated Learning in Healthcare: Model Misconducts, Security, Challenges, Applications, and Future Research Directions -- A Systematic Review Md. Shahin Ali M. Ahsan Lamia Tasnim Sadia Afrin Koushik Biswas Maruf Md. Sajjad Hossain Md Mahfuz Ahmed Ronok Hashan Md. Khairul Islam Shivakumar Raman 159 18 0 22 May 2024
Intelligent Agents for Auction-based Federated Learning: A Survey Xiaoli Tang Han Yu Xiaoxiao Li Sarit Kraus FedML 148 12 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 220 31 0 28 Mar 2024
FedFair^3: Unlocking Threefold Fairness in Federated Learning Simin Javaherian Sanjeev Panta Shelby Williams Md Sirajul Islam Li Chen FedML 221 5 0 29 Jan 2024
Privacy-Preserving Data Fusion for Traffic State Estimation: A Vertical Federated Learning ApproachTransportation Research Part C: Emerging Technologies (TRC), 2024 Qiqing Wang Kaidi Yang FedML 147 11 0 22 Jan 2024
AIJack: Let's Hijack AI! Security and Privacy Risk Simulator for Machine Learning Hideaki Takahashi SILM 213 2 0 29 Dec 2023
Towards Realistic Mechanisms That Incentivize Federated Participation and Contribution Marco Bornstein Amrit Singh Bedi Anit Kumar Sahu Furqan Khan Furong Huang FedML 283 0 0 20 Oct 2023
Federated Learning Incentive Mechanism under Buyers' Auction Market Jiaxi Yang Zihao Guo Sheng Cao Cuifang Zhao Li-Chuan Tsai FedML 91 3 0 10 Sep 2023
FusionAI: Decentralized Training and Deploying LLMs with Massive Consumer-Level GPUs Zhenheng Tang Yuxin Wang Xin He Longteng Zhang Xinglin Pan ... Rongfei Zeng Kaiyong Zhao Shaoshuai Shi Bingsheng He Xiaowen Chu 183 34 0 03 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 125 2 0 01 Jul 2023
A Framework for Incentivized Collaborative Learning Xinran Wang Qi Le Ahmad Faraz Khan Jie Ding A. Anwar FedML 130 5 0 26 May 2023
Strategic Data Sharing between CompetitorsNeural Information Processing Systems (NeurIPS), 2023 Nikita Tsoy Nikola Konstantinov FedML 200 10 0 25 May 2023
Trustworthy Federated Learning: A Survey A. Tariq M. Serhani F. Sallabi Tariq Qayyum E. Barka K. Shuaib FedML 239 16 0 19 May 2023
Incentive Mechanism Design for Unbiased Federated Learning with Randomized Client ParticipationIEEE International Conference on Distributed Computing Systems (ICDCS), 2023 Bing Luo Yutong Feng Maroun Touma Jianwei Huang Leandros Tassiulas FedML 173 18 0 17 Apr 2023
Deep Generative Model and Its Applications in Efficient Wireless Network Management: A Tutorial and Case StudyIEEE wireless communications (IEEE Wireless Commun.), 2023 Yinqiu Liu Hongyang Du Dusit Niyato Jiawen Kang Zehui Xiong Dong In Kim Abbas Jamalipour DiffM 139 43 0 30 Mar 2023
FS-Real: Towards Real-World Cross-Device Federated LearningKnowledge Discovery and Data Mining (KDD), 2023 Daoyuan Chen Dawei Gao Yuexiang Xie Xuchen Pan Zitao Li Yaliang Li Bolin Ding Jingren Zhou 224 36 0 23 Mar 2023
Welfare and Fairness Dynamics in Federated Learning: A Client Selection PerspectiveStatistics and its Interface (SII), 2023 Yash Travadi Le Peng Xuan Bi Ju Sun Mochen Yang FedML 98 4 0 17 Feb 2023
FedDebug: Systematic Debugging for Federated Learning ApplicationsInternational Conference on Software Engineering (ICSE), 2023 Waris Gill A. Anwar Muhammad Ali Gulzar FedML 217 13 0 09 Jan 2023
TorchFL: A Performant Library for Bootstrapping Federated Learning Experiments Vivek Khimani S. Jabbari FedML AI4CE 205 1 0 01 Nov 2022
Federated Learning and Meta Learning: Approaches, Applications, and DirectionsIEEE Communications Surveys and Tutorials (COMST), 2022 Xiaonan Liu Yansha Deng Arumugam Nallanathan M. Bennis 309 58 0 24 Oct 2022
A Snapshot of the Frontiers of Client Selection in Federated Learning Gergely Németh M. Lozano Novi Quadrianto Nuria Oliver FedML 262 17 0 27 Sep 2022
Decentral and Incentivized Federated Learning Frameworks: A Systematic Literature ReviewIEEE Internet of Things Journal (IEEE IoT J.), 2022 Leon Witt Mathis Heyer Kentaroh Toyoda Wojciech Samek Dan Li FedML 248 59 0 07 May 2022
Game of Privacy: Towards Better Federated Platform Collaboration under Privacy Restriction Chuhan Wu Fangzhao Wu Tao Qi Yanlin Wang Yuqing Yang Yongfeng Huang Xing Xie FedML 151 1 0 10 Feb 2022
Incentive Mechanisms for Federated Learning: From Economic and Game Theoretic PerspectiveIEEE Transactions on Cognitive Communications and Networking (IEEE TCCN), 2021 Xuezhen Tu Kun Zhu Nguyen Cong Luong Dusit Niyato Yang Zhang Juan Li FedML AI4CE 226 144 0 20 Nov 2021
Towards Fairness-Aware Federated LearningIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021 Yuxin Shi Han Yu Cyril Leung FedML 234 111 0 02 Nov 2021