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

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

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 postdisaster structural health...

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Bibliographic Details
Main Authors: Junaid Akram, Awais Akram, Palash Ingle, Rutvij H. Jhaveri, Ali Anaissi, Adnan Akhunzada
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Anomaly detection
drones
federated learning (FL)
spatial crowdsourcing
structural health monitoring (SHM)
Online Access:https://ieeexplore.ieee.org/document/11027713/
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