Privacy-Preserving Spatial Crowdsourcing Drone Services for Post-Disaster Infrastructure Monitoring: A Conditional Federated Learning Approach

Privacy-Preserving Spatial Crowdsourcing Drone Services for Post-Disaster Infrastructure Monitoring: A Conditional Federated Learning Approach

<p dir="ltr">Sixth-generation (6G) networks, offering ultra-low latency and high bandwidth, provide critical support for rapid data transmission in postdisaster environments where conventional infrastructure may be compromised. This study presents a privacy-preserving framework for p...

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Bibliographic Details
Main Author: Junaid Akram (13389717) (author)
Other Authors: Awais Akram (11890289) (author), Palash Ingle (21512921) (author), Rutvij H. Jhaveri (16850751) (author), Ali Anaissi (2837591) (author), Adnan Akhunzada (20151648) (author)
Published: 2025
Subjects:
Engineering
Civil engineering
Communications engineering
Control engineering, mechatronics and robotics
Information and computing sciences
Artificial intelligence
Distributed computing and systems software
Machine learning
Anomaly detection
Drones
Federated learning (FL)
Spatial crowdsourcing
Structural health monitoring (SHM)
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