3 citations · 7 across the 7 of their papers we have counts for
7 papers
Energy-Efficient Quantized Federated Learning for Resource-constrained IoT devices
Wilfrid Sougrinoma Compaoré, Yaya Etiabi, El Mehdi Amhoud +1
Federated Learning (FL) has emerged as a promising paradigm for enabling collaborative machine learning while preserving data privacy, making it particularly suitable for Internet…
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…
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…
A Unified Deep Transfer Learning Model for Accurate IoT Localization in Diverse Environments
Abdullahi Isa Ahmed, Yaya Etiabi, Ali Waqar Azim +1
Internet of Things (IoT) is an ever-evolving technological paradigm that is reshaping industries and societies globally. Real-time data collection, analysis, and decision-making fa…
Federated Learning based Hierarchical 3D Indoor Localization
Yaya Etiabi, Wafa Njima, El Mehdi Amhoud
The proliferation of connected devices in indoor environments opens the floor to a myriad of indoor applications with positioning services as key enablers. However, as privacy issu…
Federated Distillation based Indoor Localization for IoT Networks
Yaya Etiabi, Marwa Chafii, El Mehdi Amhoud
Federated distillation (FD) paradigm has been recently proposed as a promising alternative to federated learning (FL) especially in wireless sensor networks with limited communicat…
Spreading Factor assisted LoRa Localization with Deep Reinforcement Learning
Yaya Etiabi, Mohammed JOUHARI, Andreas Burg +1
Most of the developed localization solutions rely on RSSI fingerprinting. However, in the LoRa networks, due to the spreading factor (SF) in the network setting, traditional finger…