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FeMLoc: Federated Meta-learning for Adaptive Wireless Indoor
  Localization Tasks in IoT Networks

FeMLoc: Federated Meta-learning for Adaptive Wireless Indoor Localization Tasks in IoT Networks

17 May 2024
Yaya Etiabi
Wafa Njima
El-Mehdi Amhoud
ArXivPDFHTML

Papers citing "FeMLoc: Federated Meta-learning for Adaptive Wireless Indoor Localization Tasks in IoT Networks"

5 / 5 papers shown
Title
AI-driven Wireless Positioning: Fundamentals, Standards, State-of-the-art, and Challenges
Guangjin Pan
Yuan Gao
Yilin Gao
Zhiyong Zhong
Xiaoyu Yang
Xinyu Guo
Shugong Xu
48
1
0
28 Jan 2025
A Meta-learning based Generalizable Indoor Localization Model using
  Channel State Information
A Meta-learning based Generalizable Indoor Localization Model using Channel State Information
Ali Owfi
ChunChih Lin
Linke Guo
Fatemeh Afghah
Jonathan D. Ashdown
K. Turck
35
8
0
22 May 2023
Federated Distillation based Indoor Localization for IoT Networks
Federated Distillation based Indoor Localization for IoT Networks
Yaya Etiabi
Marwa Chafii
El-Mehdi Amhoud
FedML
43
15
0
23 May 2022
Few-Shot Transfer Learning for Device-Free Fingerprinting Indoor
  Localization
Few-Shot Transfer Learning for Device-Free Fingerprinting Indoor Localization
Bingchao Chen
Ronald Y. Chang
22
16
0
29 Jan 2022
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
362
11,700
0
09 Mar 2017
1