A Federated Learning Framework for Fingerprinting-Based Indoor Localization in Multibuilding and Multifloor Environments-Reference-Cited by-同舟云学术

A Federated Learning Framework for Fingerprinting-Based Indoor Localization in Multibuilding and Multifloor Environments

Published:2023-02-01 Issue:3 Volume:10 Page:2615-2629
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Gao Bo¹^ORCID,Yang Fan¹,Cui Nan²,Xiong Ke¹^ORCID,Lu Yang¹^ORCID,Wang Yuwei³

Affiliation:

1. Engineering Research Center of Network Management Technology for High Speed Railway of Ministry of Education, School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China

2. Tencent Technologies, Beijing, China

3. Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China

Funder

Fundamental Research Funds for the Central Universities

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/6488907/10024910/09917443.pdf?arnumber=9917443

Reference47 articles.

1. An Efficient Indoor Localization Method Based on the Long Short-Term Memory Recurrent Neuron Network

2. Deep learning based wireless localization for indoor navigation

3. DeepLocBox: Reliable Fingerprinting-Based Indoor Area Localization

4. WiDeep: WiFi-based Accurate and Robust Indoor Localization System using Deep Learning

5. Device-Free Localization Based on CSI Fingerprints and Deep Neural Networks

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