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A Comprehensive Survey of Incentive Mechanism for Federated Learning
27 June 2021
Rongfei Zeng
Chaobing Zeng
Xingwei Wang
Yue Liu
Xiaowen Chu
FedML
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Papers citing
"A Comprehensive Survey of Incentive Mechanism for Federated Learning"
29 / 29 papers shown
Incentivizing Inclusive Contributions in Model Sharing Markets
Nature Communications (Nat Commun), 2025
Enpei Zhang
Jingyi Chai
Guangyi Liu
Yanfeng Wang
Siheng Chen
TDI
FedML
915
3
0
05 May 2025
Learning with Limited Shared Information in Multi-agent Multi-armed Bandit
Adaptive Agents and Multi-Agent Systems (AAMAS), 2025
Junning Shao
Siwei Wang
Zhixuan Fang
400
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
269
15
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
289
18
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
226
22
0
22 May 2024
Intelligent Agents for Auction-based Federated Learning: A Survey
Xiaoli Tang
Han Yu
Xiaoxiao Li
Sarit Kraus
FedML
180
14
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
240
35
0
28 Mar 2024
FedFair^3: Unlocking Threefold Fairness in Federated Learning
Simin Javaherian
Sanjeev Panta
Shelby Williams
Md Sirajul Islam
Li Chen
FedML
258
5
0
29 Jan 2024
Privacy-Preserving Data Fusion for Traffic State Estimation: A Vertical Federated Learning Approach
Transportation Research Part C: Emerging Technologies (TRC), 2024
Qiqing Wang
Kaidi Yang
FedML
172
11
0
22 Jan 2024
AIJack: Let's Hijack AI! Security and Privacy Risk Simulator for Machine Learning
Hideaki Takahashi
SILM
273
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
305
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
120
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
243
35
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
157
3
0
01 Jul 2023
A Framework for Incentivized Collaborative Learning
Xinran Wang
Qi Le
Ahmad Faraz Khan
Jie Ding
A. Anwar
FedML
150
5
0
26 May 2023
Strategic Data Sharing between Competitors
Neural Information Processing Systems (NeurIPS), 2023
Nikita Tsoy
Nikola Konstantinov
FedML
261
11
0
25 May 2023
Trustworthy Federated Learning: A Survey
A. Tariq
M. Serhani
F. Sallabi
Tariq Qayyum
E. Barka
K. Shuaib
FedML
279
16
0
19 May 2023
Incentive Mechanism Design for Unbiased Federated Learning with Randomized Client Participation
IEEE International Conference on Distributed Computing Systems (ICDCS), 2023
Bing Luo
Yutong Feng
Maroun Touma
Jianwei Huang
Leandros Tassiulas
FedML
194
19
0
17 Apr 2023
Deep Generative Model and Its Applications in Efficient Wireless Network Management: A Tutorial and Case Study
IEEE wireless communications (IEEE Wireless Commun.), 2023
Yinqiu Liu
Hongyang Du
Dusit Niyato
Jiawen Kang
Zehui Xiong
Dong In Kim
Abbas Jamalipour
DiffM
147
48
0
30 Mar 2023
FS-Real: Towards Real-World Cross-Device Federated Learning
Knowledge Discovery and Data Mining (KDD), 2023
Daoyuan Chen
Dawei Gao
Yuexiang Xie
Xuchen Pan
Zitao Li
Yaliang Li
Bolin Ding
Jingren Zhou
260
38
0
23 Mar 2023
Welfare and Fairness Dynamics in Federated Learning: A Client Selection Perspective
Statistics and its Interface (SII), 2023
Yash Travadi
Le Peng
Xuan Bi
Ju Sun
Mochen Yang
FedML
151
4
0
17 Feb 2023
FedDebug: Systematic Debugging for Federated Learning Applications
International Conference on Software Engineering (ICSE), 2023
Waris Gill
A. Anwar
Muhammad Ali Gulzar
FedML
288
13
0
09 Jan 2023
TorchFL: A Performant Library for Bootstrapping Federated Learning Experiments
Vivek Khimani
S. Jabbari
FedML
AI4CE
256
1
0
01 Nov 2022
Federated Learning and Meta Learning: Approaches, Applications, and Directions
IEEE Communications Surveys and Tutorials (COMST), 2022
Xiaonan Liu
Yansha Deng
Arumugam Nallanathan
M. Bennis
356
62
0
24 Oct 2022
A Snapshot of the Frontiers of Client Selection in Federated Learning
Gergely Németh
M. Lozano
Novi Quadrianto
Nuria Oliver
FedML
302
17
0
27 Sep 2022
Decentral and Incentivized Federated Learning Frameworks: A Systematic Literature Review
IEEE Internet of Things Journal (IEEE IoT J.), 2022
Leon Witt
Mathis Heyer
Kentaroh Toyoda
Wojciech Samek
Dan Li
FedML
277
61
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
215
1
0
10 Feb 2022
Incentive Mechanisms for Federated Learning: From Economic and Game Theoretic Perspective
IEEE Transactions on Cognitive Communications and Networking (IEEE TCCN), 2021
Xuezhen Tu
Kun Zhu
Nguyen Cong Luong
Dusit Niyato
Yang Zhang
Juan Li
FedML
AI4CE
271
148
0
20 Nov 2021
Towards Fairness-Aware Federated Learning
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021
Yuxin Shi
Han Yu
Cyril Leung
FedML
325
117
0
02 Nov 2021
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