Joint trajectory and incentive optimization for privacy-preserving UAV crowdsensing via multi-agent federated reinforcement learning

Chaoyang Zhu; Zhu Xiao; Tuanfa Qin

doi:10.1016/j.iot.2025.101689

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JOURNAL ARTICLE

Joint trajectory and incentive optimization for privacy-preserving UAV crowdsensing via multi-agent federated reinforcement learning

Chaoyang Zhu Zhu Xiao Tuanfa Qin

Year: 2025 Journal: Internet of Things Vol: 33 Pages: 101689-101689 Publisher: Elsevier BV

DOI: 10.1016/j.iot.2025.101689

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Keywords:

Crowdsensing Reinforcement learning Trajectory Computer science Joint (building) Incentive Reinforcement Artificial intelligence Computer security Engineering Microeconomics Economics Structural engineering

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Privacy-Preserving Technologies in Data

Physical Sciences → Computer Science → Artificial Intelligence

Mobile Crowdsensing and Crowdsourcing

Physical Sciences → Computer Science → Computer Science Applications

UAV Applications and Optimization

Physical Sciences → Engineering → Aerospace Engineering

Joint trajectory and incentive optimization for privacy-preserving UAV crowdsensing via multi-agent federated reinforcement learning

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