A Crowdsourcing Framework for On-Device Federated Learning

Cited by (318)

Items 101–200 of 318

1. Contract Theory Based Incentive Mechanism for Clustered Vehicular Federated Learning
   Siyang Wang, Haitao Zhao, Wanli Wen, Wenchao Xia, Bin Wang, Hongbo Zhu · 2024 · IEEE Transactions on Intelligent Transportation Systems
2. Federated Reinforcement Learning for Wireless Networks: Fundamentals, Challenges and Future Research Trends
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3. Power of Redundancy: Surplus Client Scheduling for Federated Learning against User Uncertainties
   Youqi Li, Fan Li, Lixing Chen, Liehuang Zhu, Pan Zhou, Yu Wang · 2022 · IEEE Transactions on Mobile Computing
4. A contemplative perspective on federated machine learning: Taxonomy, threats & vulnerability assessment and challenges
   Divya Jatain, Vikram Sıngh, Naveen Dahiya · 2021 · Journal of King Saud University - Computer and Information Sciences
5. Truthful Online Double Auctions for Mobile Crowdsourcing: An On-Demand Service Strategy
   Shumei Liu, Yao Yu, Lei Guo, Phee Lep Yeoh, Qiang Ni, Branka S. Vucetic, Yonghui Li · 2022 · IEEE Internet of Things Journal
6. Security provisions in smart edge computing devices using blockchain and machine learning algorithms: a novel approach
   Kamta Nath Mishra, Vandana Bhattacharjee, Shashwat Saket, Shivam Prakash Mishra · 2022 · Cluster Computing
7. Incentive Mechanism for Federated Learning With Random Client Selection
   Hongyi Wu, Xiaoying Tang, Ying–Jun Angela Zhang, Lin Xia Gao · 2023 · IEEE Transactions on Network Science and Engineering
8. Bayesian Game-Driven Incentive Mechanism for Blockchain-Enabled Secure Federated Learning in 6G Wireless Networks
   Lingyi Cai, Yueyue Dai, Qiwei Hu, Jiaxi Zhou, Yan Zhang, Tao Jiang · 2024 · IEEE Transactions on Network Science and Engineering
9. Federated learning for Healthcare 5.0: a comprehensive survey, taxonomy, challenges, and solutions
   Muhammad Amin, Shabir Ahmad, Woong-Kee Loh · 2025 · Soft Computing
10. FedSVRG Based Communication Efficient Scheme for Federated Learning in MEC Networks
    Dawei Chen, C. Hong, Yiyong Zha, Yunfei Zhang, Xin Liu, Zhu Han · 2021 · IEEE Transactions on Vehicular Technology
11. Federated Learning: Issues in Medical Application
    Joo Hun Yoo, Hyejun Jeong, Jaehyeok Lee, Tai‐Myoung Chung · 2021 · Lecture notes in computer science
12. Quality-Aware Incentive Mechanism Design Based on Matching Game for Hierarchical Federated Learning
    Hui Du, Zhuo Li, Xin Chen · 2022 · IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)
13. A mutual information based federated learning framework for edge computing networks
    Naiyue Chen, Yinglong Li, Xuejun Liu, Zhenjiang Zhang · 2021 · Computer Communications
14. Economic and Energy-Efficient Wireless Federated Learning Based on Stackelberg Game
    Haitao Zhao, Mengying Zhou, Wenchao Xia, Yiyang Ni, Guan Gui, Hongbo Zhu · 2023 · IEEE Transactions on Vehicular Technology
15. FairFed: Improving Fairness and Efficiency of Contribution Evaluation in Federated Learning via Cooperative Shapley Value
    Yiqi Liu, Shan Chang, Ye Liu, Bo Li, Cong Wang · 2024 · IEEE Conference on Computer Communications (INFOCOM)
16. SHFL: K-Anonymity-Based Secure Hierarchical Federated Learning Framework for Smart Healthcare Systems
    Muhammad Asad, Muhammad Aslam, Syeda Fizzah Jilani, Saima Shaukat, Manabu Tsukada · 2022 · Future Internet
17. Regulated Subspace Projection Based Local Model Update Compression for Communication-Efficient Federated Learning
    Sangjun Park, Wan Choi · 2023 · IEEE Journal on Selected Areas in Communications
18. Long-Term Adaptive VCG Auction Mechanism for Sustainable Federated Learning With Periodical Client Shifting
    Leijie Wu, Song Guo, Zicong Hong, Yi Liu, Wenchao Xu, Yufeng Zhan · 2023 · IEEE Transactions on Mobile Computing
19. Distributed and Democratized Learning: Philosophy and Research Challenges
    Minh N. H. Nguyen, Shashi Raj Pandey, Kyi Thar, Nguyen Hoang Khoi Tran, Mingzhe Chen, Walid Saad, Choong Seon Hong · 2021 · IEEE Computational Intelligence Magazine
20. A Blockchain-Empowered Incentive Mechanism for Cross-Silo Federated Learning
    Ming Tang, Fu Peng, Vincent W. S. Wong · 2024 · IEEE Transactions on Mobile Computing
21. IMFL-AIGC: Incentive Mechanism Design for Federated Learning Empowered by Artificial Intelligence Generated Content
    Guangjing Huang, Qiong Wu, Jingyi Li, Xu Chen · 2024 · IEEE Transactions on Mobile Computing
22. A Truthful Procurement Auction for Incentivizing Heterogeneous Clients in Federated Learning
    Ruiting Zhou, Jinlong Pang, Zhibo Wang, John C. S. Lui, Zongpeng Li · 2021 · IEEE International Conference on Distributed Computing Systems (ICDCS)
23. Partially-federated learning: A new approach to achieving privacy and effectiveness
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24. A Cooperative Analysis to Incentivize Communication-Efficient Federated Learning
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25. TIFF: Tokenized Incentive for Federated Learning
    Jingoo Han, Ahmad Khan, Syed Zawad, Ali Anwar, Nathalie Baracaldo Angel, Yi Zhou, Feng Yan, Ali Raza Butt · 2022 · IEEE ... International Conference on Cloud Computing
26. FedClamp: An Algorithm for Identification of Anomalous Client in Federated Learning
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27. FedProf: Selective Federated Learning based on Distributional Representation Profiling
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28. An Incentive Mechanism for Long-Term Federated Learning in Autonomous Driving
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29. Contributions Estimation in Federated Learning: A Comprehensive Experimental Evaluation
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30. Paradigm Shift Toward Distributed Learning in IoT Intelligence: A Comprehensive Survey of Opportunities and Challenges
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31. Nothing Wasted: Full Contribution Enforcement in Federated Edge Learning
    Qin Hu, Shengling Wang, Zehui Xiong, Xiuzhen Cheng · 2021 · IEEE Transactions on Mobile Computing
32. Incentive-Boosted Federated Crowdsourcing
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33. Truthful Incentive Mechanism for Federated Learning with Crowdsourced Data Labeling
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34. Toward Fine-Grained Task Allocation With Bilateral Access Control for Intelligent Transportation Systems
    Tong Wu, Xiaochen Ma, Chuan Zhang, Ximeng Liu, Guomin Yang, Liehuang Zhu · 2023 · IEEE Internet of Things Journal
35. DCoL: Distributed Collaborative Learning for Proactive Content Caching at Edge Networks
    Subina Khanal, Kyi Thar, Eui‐Nam Huh · 2021 · IEEE Access
36. PR-OppCL: Privacy-Preserving Reputation-Based Opportunistic Federated Learning in Intelligent Transportation System
    Qiong Li, Xiangxian Yi, Jin Nie, Yizhao Zhu · 2024 · IEEE Transactions on Vehicular Technology
37. Auction-based client selection for online Federated Learning
    Juncai Guo, SU Li-na, Jin Liu, Jianli Ding, Xiao Liu, Bo Huang, Li Li · 2024 · Information Fusion
38. Incentive mechanism design for Federated Learning with Stackelberg game perspective in the industrial scenario
    Wei Guo, Yijin Wang, Pingyu Jiang · 2023 · Computers & Industrial Engineering
39. An Incentive Mechanism for Federated Learning: A Continuous Zero-Determinant Strategy Approach
    Changbing Tang, Baosen Yang, Xiaodong Xie, Guanrong Chen, Mohammed A. A. Al‐qaness, Yang Liu · 2024 · IEEE/CAA Journal of Automatica Sinica
40. Incentive-Aware Resource Allocation for Multiple Model Owners in Federated Learning
    Feng-Yang Chen, Li‐Hsing Yen · 2024 · IEEE Transactions on Services Computing
41. LCEFL: A Lightweight Contribution Evaluation Approach for Federated Learning
    Jing-Jing Guo, Jia-Xing Li, Zhi-Quan Liu, Yupeng Xiong, Yong Ma, Athanasios V. Vasilakos, Xing-Hua Li, Jian-Feng Ma · 2025 · IEEE Transactions on Mobile Computing
42. Truthful Incentive Mechanism Design via Internalizing Externalities and LP Relaxation for Vertical Federated Learning
    Jianfeng Lu, Bangqi Pan, Abegaz Mohammed Seid, Bing Li, Gangqiang Hu, Shaohua Wan · 2022 · IEEE Transactions on Computational Social Systems
43. An Incentive Mechanism for Big Data Trading in End-Edge-Cloud Hierarchical Federated Learning
    Yunfeng Zhao, Zhicheng Liu, Chao Qiu, Xiaofei Wang, Fei Richard Yu, Victor C. M. Leung · 2021 · Globecom
44. From Eye to Brain: A Proactive and Distributed Crowdsensing Framework for Federated Learning
    Hongjia Wu, Hui Yong Zeng, Tongqing Zhou, Zhiping Cai, Zehui Xiong, Dusit Tao Niyato, Zhu Han · 2022 · IEEE Internet of Things Journal
45. FedSSC: Joint client selection and resource management for communication-efficient federated vehicular networks
    Su Liu, Peiyuan Guan, Jiong Yu, Amir Taherkordi · 2023 · Computer Networks
46. Optimal Mechanism Design for Heterogeneous Client Sampling in Federated Learning
    Guocheng Liao, Bing Luo, Yutong Feng, Meng Zhang, Xu Chen · 2024 · IEEE Transactions on Mobile Computing
47. DeepSeek-Inspired Exploration of RL-Based LLMs and Synergy with Wireless Networks: A Survey
    Yu Qiao, Phuong-Nam Tran, Ji Su Yoon, Loc X. Nguyen, Eui‐Nam Huh, Dusit Tao Niyato, Choong Seon Hong · 2025 · ACM Computing Surveys
48. Federated Learning Using Sparse-Adaptive Model Selection for Embedded Edge Computing
    Shan Ullah, Deok‐Hwan Kim · 2021 · IEEE Access
49. A Survey of Fairness-Aware Federated Learning
    Yuxin Shi, Han Yu, Cyril Leung · 2021 · arXiv (Cornell University)
50. QARMA-FL: Quality-Aware Robust Model Aggregation for Mobile Crowdsourcing
    Shehan Edirimannage, Charitha Elvitigala, Ibrahim Khalil, Primal Wijesekera, Xun Yi · 2023 · IEEE Internet of Things Journal
51. Personalized Federated Learning With State-Adaptive IoT Device Scheduling in Mobile-Edge Computing
    Jun Mai, Kun Cao, Tongquan Wei · 2025 · IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
52. Utility Fairness for the Differentially Private Federated-Learning-Based Wireless IoT Networks
    Sheeraz Akhtar Alvi, Yi Hong, Salman Durrani · 2022 · IEEE Internet of Things Journal
53. Age-Aware Data Selection and Aggregator Placement for Timely Federated Continual Learning in Mobile Edge Computing
    Zichuan Xu, Lin Wang, Weifa Liang, Qiufen Xia, Wenzheng Xu, Pan Zhou, OMER F. RANA · 2023 · IEEE Transactions on Computers
54. Shadow backdoor attack: Multi-intensity backdoor attack against federated learning
    Qixian Ren, Yu Zheng, Yang Chao, Yue Li, Jianfeng Ma · 2024 · Computers & Security
55. Federated learning in smart home: A dynamic contract-based incentive approach with task preferences
    Manxia Cao, Qingshan Wang, Qi Wang · 2024 · Computer Networks
56. Optimizing Hierarchical Federated Learning: A Reinforcement Learning Approach
    Yinghui Sai, Xiaoyi Wu, Jiacheng Jiang, Yuxiang Huang, Qian Yan, Zongpeng Li, Hao Huang · 2024 · IEEE Transactions on Consumer Electronics
57. Spatio-temporal Heterogeneous Federated Learning for Time Series Classification with Multi-view Orthogonal Training
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58. Incentive-Driven Long-term Optimization for Edge Learning by Hierarchical Reinforcement Mechanism
    Yi Liu, Leijie Wu, Yufeng Zhan, Song Guo, Zicong Hong · 2021 · IEEE International Conference on Distributed Computing Systems (ICDCS)
59. Incentive mechanism for federated learning based on blockchain and Bayesian game
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60. Route-Based Proactive Content Caching Using Self-Attention in Hierarchical Federated Learning
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61. Adaptive Period Control for Communication Efficient and Fast Convergent Federated Learning
    Jude Tchaye-Kondi, Yanlong Zhai, Jun Shen, Akbar Telikani, Liehuang Zhu · 2024 · IEEE Transactions on Mobile Computing
62. Strategic Coalition for Data Pricing in IoT Data Markets
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63. Towards Reliable Federated Learning Using Blockchain-Based Reverse Auctions and Reputation Incentives
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64. A Novel Incentive Mechanism for Federated Learning Over Wireless Communications
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65. Sustainable Federated Learning with Long-term Online VCG Auction Mechanism
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66. Pervasive AI for IoT Applications: Resource-efficient Distributed Artificial Intelligence.
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67. Incentive-Driven Federated Learning and Associated Security Challenges: A Systematic Review
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68. Fast converging Federated Learning with Non-IID Data
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69. How Valuable is Your Data? Optimizing Client Recruitment in Federated Learning
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70. Incentivized Federated Learning: A Survey
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71. On Dynamically Pricing Crowdsourcing Tasks
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72. Federated learning application in distributed energy trading in integrated energy system
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73. Incentive Mechanism for Federated Learning based on Random Client Sampling
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74. Self-organizing Democratized Learning: Towards Large-scale Distributed Learning Systems
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75. An Incentive Mechanism for Federated Learning in Wireless Cellular network: An Auction Approach
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76. Federated Learning Incentive Mechanism with Supervised Fuzzy Shapley Value
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77. Privacy-Preserving Federated Interpretability
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78. Personalized federated learning with fairness, robustness, and collaboration incentives
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79. CAB: a combinatorial-auction-and-bargaining-based federated learning incentive mechanism
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80. On Addressing Heterogeneity in Federated Learning for Autonomous Vehicles Connected to a Drone Orchestrator
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81. Incentive Mechanism Design For Federated Learning in Multi-access Edge Computing
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82. Tactile internet of federated things: Toward fine-grained design of FL-based architecture to meet TIoT demands
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83. A review on client selection models in federated learning
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84. A Fine-Grain Batching-Based Task Allocation Algorithm for Spatial Crowdsourcing
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85. Optimal and Effective Resource Management in Edge Computing
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86. Resource Optimized Hierarchical Split Federated Learning for Wireless Networks
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87. A Dropout-Tolerated Privacy-Preserving Method for Decentralized Crowdsourced Federated Learning
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88. Toward Free-Riding Attack on Cross-Silo Federated Learning Through Evolutionary Game
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89. Adaptive Clipping and Distillation Enabled Federated Unlearning
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90. Federated learning privacy incentives: Reverse auctions and negotiations
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91. ADI: Adversarial Dominating Inputs in Vertical Federated Learning Systems
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92. A Pricing Game for Federated Learning Supporting Lightweight Local Model Training
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93. An IoMT-based Federated Learning Survey in Smart Transportation
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94. A survey of federated learning approach for the Sustainable Development aspect: eLearning
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95. Optimal Device Selection for Federated Learning over Mobile Edge Networks
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96. Security Issues and Solutions in Federate Learning Under IoT Critical Infrastructure
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97. Task-Load-Aware Game-Theoretic Framework for Wireless Federated Learning
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98. Semi-Private Computation of Data Similarity With Applications to Data Valuation and Pricing
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99. Portfolio-Based Incentive Mechanism Design for Cross-Device Federated Learning
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100. Rate-Adapted Decentralized Learning Over Wireless Networks
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