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eess.SP2024★ 1 cited
MetaGraphLoc: A Graph-based Meta-learning Scheme for Indoor Localization via Sensor Fusion
Yaya Etiabi, Eslam Eldeeb, Mohammad Shehab +4
Accurate indoor localization remains challenging due to variations in wireless signal environments and limited data availability. This paper introduces MetaGraphLoc, a novel system…
eess.SP2024
FeMLoc: Federated Meta-learning for Adaptive Wireless Indoor Localization Tasks in IoT Networks
Yaya Etiabi, Wafa Njima, El Mehdi Amhoud
The rapid growth of the Internet of Things fosters collaboration among connected devices for tasks like indoor localization. However, existing indoor localization solutions struggl…