Federated learning for internet of things: A comprehensive survey

DC Nguyen, M Ding, PN Pathirana… - … Surveys & Tutorials, 2021 - ieeexplore.ieee.org
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 …

Recent advances in pedestrian inertial navigation based on smartphone: A review

Q Wang, M Fu, J Wang, H Luo, L Sun, Z Ma… - IEEE Sensors …, 2022 - ieeexplore.ieee.org
Indoor location-based service is a hot research topic whose application market size is
expected to grow from 41 billion by 2022 and 58 billion by 2023. As a portable …

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 …

A federated learning framework for fingerprinting-based indoor localization in multibuilding and multifloor environments

B Gao, F Yang, N Cui, K Xiong, Y Lu… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
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 …

FedPos: A federated transfer learning framework for CSI-based Wi-Fi indoor positioning

J Guo, IWH Ho, Y Hou, Z Li - IEEE Systems Journal, 2023 - ieeexplore.ieee.org
This article proposes FedPos, a federated transfer learning framework together with a novel
position estimation method for Wi-Fi indoor positioning. Compared with traditional machine …

Localization as a key enabler of 6G wireless systems: A comprehensive survey and an outlook

SE Trevlakis, AAA Boulogeorgos… - IEEE Open Journal …, 2023 - ieeexplore.ieee.org
When fully implemented, sixth generation (6G) wireless systems will constitute intelligent
wireless networks that enable not only ubiquitous communication but also high-accuracy …

Towards accurate and privacy-preserving localization using anchor quality assessment in Internet of Things

F Zuo, Y Li, G Wang, X He - Future Generation Computer Systems, 2023 - Elsevier
Crowdsourced localization plays a significant role for the applications in Internet of Things.
Even though existing studies have proposed privacy-preserving localization algorithms to …

On-device indoor positioning: A federated reinforcement learning approach with heterogeneous devices

F Dou, J Lu, T Zhu, J Bi - IEEE Internet of Things Journal, 2023 - ieeexplore.ieee.org
The widespread deployment of machine learning techniques in ubiquitous computing
environments has sparked interests in exploiting the vast amount of data stored on mobile …

Recent advances in pedestrian navigation activity recognition: a review

Q Wang, H Luo, J Wang, L Sun, Z Ma… - IEEE Sensors …, 2022 - ieeexplore.ieee.org
Pedestrian navigation activity recognition (PNAR) has a significant impact on positioning
and tracking performance. Smartphone-based PNAR utilizes measurements from sensors …

Toward crowdsourced transportation mode identification: A semisupervised federated learning approach

C Zhang, Y Zhu, C Markos, S Yu… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
Privacy-preserving transportation mode identification (TMI) is among the key challenges
toward future intelligent transportation systems. With recent developments in federated …