Feature fusion federated learning for privacy-aware indoor localization
Abstract In recent years, Indoor Positioning Systems (IPS) have emerged as a critical
technology to enable a diverse range of Location-based Services (LBS) across different …
technology to enable a diverse range of Location-based Services (LBS) across different …
[PDF][PDF] Position estimation in mixed indoor-outdoor environment using signals of opportunity and deep learning approach
S Urwan, DR Wysocka, A Pietrzak… - International Journal of …, 2022 - journals.pan.pl
To improve the user's localization estimation in indoor and outdoor environment a novel
radiolocalization system using deep learning dedicated to work both in indoor and outdoor …
radiolocalization system using deep learning dedicated to work both in indoor and outdoor …
Multi-Domain Transfer Ensemble Learning for Wireless Fingerprinting Localization
Multi-domain localization has emerged as an important learning paradigm for wireless
fingerprinting localization, which leverages data from multiple related domains, known as …
fingerprinting localization, which leverages data from multiple related domains, known as …
Applications of Distributed Machine Learning for the Internet-of-Things: A Comprehensive Survey
The emergence of new services and applications in emerging wireless networks (eg,
beyond 5G and 6G) has shown a growing demand for the usage of artificial intelligence (AI) …
beyond 5G and 6G) has shown a growing demand for the usage of artificial intelligence (AI) …
A privacy-preserved online personalized federated learning framework for indoor localization
Z Wu, X Wu, X Long, Y Long - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
By taking advantage of Deep Learning (DL), Received signal strength (RSS) fingerprint-
based indoor localization has attracted more attention. Training DL models require an …
based indoor localization has attracted more attention. Training DL models require an …
Zone-Based federated learning in indoor positioning
O Tasbaz, V Moghtadaiee… - 2022 12th International …, 2022 - ieeexplore.ieee.org
With the advancement of artificial intelligence (AI), indoor positioning systems have been
getting more attention in smart cities and smart homes for various purposes. However …
getting more attention in smart cities and smart homes for various purposes. However …
An evolutionary algorithm for collaborative mobile crowdsourcing recruitment in socially connected iot systems
Mobile crowd sourcing (MCS) enables a distributed problem-solving model in which a crowd
of smart devices' users is engaged in the task of solving a data sensing problem through an …
of smart devices' users is engaged in the task of solving a data sensing problem through an …
Differentially Private GANs for Generating Synthetic Indoor Location Data
The advent of location-based services has led to the widespread adoption of indoor
localization systems, which enable location tracking of individuals within enclosed spaces …
localization systems, which enable location tracking of individuals within enclosed spaces …
Achieving blockchain-based privacy-preserving location proofs under federated learning
Federated learning-based navigation has received much attention in vehicular IoT. The
intention is to employ a big number of end-users for data collection along different …
intention is to employ a big number of end-users for data collection along different …
Federated Learning-Enabled Cooperative Localization in Multi-agent System
Cooperative localization plays a significant role in various applications, such as emergency
rescue and navigation path planning. The advent of swarm intelligence has opened doors to …
rescue and navigation path planning. The advent of swarm intelligence has opened doors to …