Multi-Agent Meta Reinforcement Learning for Reliable and Low-Latency Distributed Inference in Resource-Constrained UAV Swarms

Multi-Agent Meta Reinforcement Learning for Reliable and Low-Latency Distributed Inference in Resource-Constrained UAV Swarms

<p dir="ltr">The integration of unmanned aerial vehicles (UAVs) in the Industrial Internet of Things (IIoT) for smart city applications has been gaining significant attention. UAV swarms are increasingly employed to monitor ground-based IIoT devices in smart cities, offering valuable...

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Bibliographic Details
Main Author: Marwan Dhuheir (19170898) (author)
Other Authors: Aiman Erbad (14150589) (author), Bechir Hamdaoui (22565315) (author), Samir Brahim Belhaouari (9427347) (author), Mohsen Guizani (12580291) (author), Thang X. Vu (22565318) (author)
Published: 2025
Subjects:
Information and computing sciences
Artificial intelligence
Distributed computing and systems software
Machine learning
Meta-reinforcement learning
Industrial Internet of Things
distributed resource optimization
UAV swarms
energy harvesting
Autonomous aerial vehicles
Reliability
Resource management
Data communication
Surveillance
Vectors
Optimization
Real-time systems
Energy consumption
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