Federated learning for internet of things: A comprehensive survey
The Internet of Things (IoT) is penetrating many facets of our daily life with the proliferation of
intelligent services and applications empowered by artificial intelligence (AI). Traditionally …
intelligent services and applications empowered by artificial intelligence (AI). Traditionally …
Convergent communication, sensing and localization in 6G systems: An overview of technologies, opportunities and challenges
Herein, we focus on convergent 6G communication, localization and sensing systems by
identifying key technology enablers, discussing their underlying challenges, implementation …
identifying key technology enablers, discussing their underlying challenges, implementation …
Federated learning: A survey on enabling technologies, protocols, and applications
This paper provides a comprehensive study of Federated Learning (FL) with an emphasis
on enabling software and hardware platforms, protocols, real-life applications and use …
on enabling software and hardware platforms, protocols, real-life applications and use …
Federated learning in smart cities: Privacy and security survey
Over the last decade, smart cities (SC) have been developed worldwide. Implementing big
data and the internet of things improves the monitoring and integration of different …
data and the internet of things improves the monitoring and integration of different …
6G white paper on localization and sensing
This white paper explores future localization and sensing opportunities for beyond 5G
wireless communication systems by identifying key technology enablers and discussing …
wireless communication systems by identifying key technology enablers and discussing …
Survey on Federated Learning enabling indoor navigation for industry 4.0 in B5G
SH Alsamhi, AV Shvetsov, A Hawbani… - Future Generation …, 2023 - Elsevier
With the expansion of intelligent services and applications powered by Artificial Intelligence
(AI), the Internet of Things (IoT) permeates many aspects of our everyday lives. In order to …
(AI), the Internet of Things (IoT) permeates many aspects of our everyday lives. In order to …
Federated learning for computationally constrained heterogeneous devices: A survey
With an increasing number of smart devices like internet of things devices deployed in the
field, offloading training of neural networks (NNs) to a central server becomes more and …
field, offloading training of neural networks (NNs) to a central server becomes more and …
Fedbalancer: Data and pace control for efficient federated learning on heterogeneous clients
Federated Learning (FL) trains a machine learning model on distributed clients without
exposing individual data. Unlike centralized training that is usually based on carefully …
exposing individual data. Unlike centralized training that is usually based on carefully …
A comprehensive survey of machine learning based localization with wireless signals
D Burghal, AT Ravi, V Rao, AA Alghafis… - arXiv preprint arXiv …, 2020 - arxiv.org
The last few decades have witnessed a growing interest in location-based services. Using
localization systems based on Radio Frequency (RF) signals has proven its efficacy for both …
localization systems based on Radio Frequency (RF) signals has proven its efficacy for both …
A federated learning framework for fingerprinting-based indoor localization in multibuilding and multifloor environments
The participatory nature of federated learning (FL) makes it attractive for fingerprinting-based
indoor localization in multibuilding and multifloor environments. A group of sensing clients …
indoor localization in multibuilding and multifloor environments. A group of sensing clients …