Federated Learning with Fair Incentives and Robust Aggregation for UAV-Aided Crowdsensing-Reference-Cited by-同舟云学术

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Federated Learning with Fair Incentives and Robust Aggregation for UAV-Aided Crowdsensing

Published:2021 Issue: Volume: Page:1-1
ISSN:2327-4697
Container-title:IEEE Transactions on Network Science and Engineering
language:
Short-container-title:IEEE Trans. Netw. Sci. Eng.

Author:

Wang Yuntao,Su Zhou,Luan Tom,Li Ruidong,Zhang Kuan

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/6488902/6930788/09664267.pdf?arnumber=9664267

Cited by 48 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Game-Theoretic Design of Quality-Aware Incentive Mechanisms for Hierarchical Federated Learning;IEEE Internet of Things Journal;2024-08-01

2. A Secure and Efficient Data Sharing Scheme for UAV Networks: Integration of Blockchain and Prospect Theory;IEEE Transactions on Network Science and Engineering;2024-07

3. ODL: Opportunistic Distributed Learning for Intelligent IoT Systems;IEEE Internet of Things Magazine;2024-07

4. TapChecker: A Lightweight SMT-Based Conflict Analysis for Trigger-Action Programming;IEEE Internet of Things Journal;2024-06-15

5. Incentive Mechanism Against Bounded Rationality for Federated Learning-Enabled Internet of UAVs: A Prospect Theory-Based Approach;IEEE Internet of Things Journal;2024-06-15

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