FedHIL: Heterogeneity resilient federated learning for robust indoor localization with mobile devices

D Gufran, S Pasricha - ACM Transactions on Embedded Computing …, 2023 - dl.acm.org
Indoor localization plays a vital role in applications such as emergency response,
warehouse management, and augmented reality experiences. By deploying machine …

SENTINEL: Securing Indoor Localization against Adversarial Attacks with Capsule Neural Networks

D Gufran, P Anandathirtha… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
With the increasing demand for edge device-powered location-based services in indoor
environments, Wi-Fi received signal strength (RSS) fingerprinting has become popular …

Wi-Fi-Based Indoor Localization and Navigation: A Robot-Aided Hybrid Deep Learning Approach

X Lin, J Gan, C Jiang, S Xue, Y Liang - Sensors, 2023 - mdpi.com
Indoor localization and navigation have become an increasingly important problem in both
industry and academia with the widespread use of mobile smart devices and the …

Design of a knowledge distillation network for wifi-based indoor localization

R Ganguly, M Mallik, C Chowdhury - Multimedia Tools and Applications, 2024 - Springer
The main purpose of indoor localization is to precisely locate users and help them navigate
within an indoor area, like a building or campus, where GPS and other satellite technologies …

CALLOC: Curriculum adversarial learning for secure and robust indoor localization

D Gufran, S Pasricha - 2024 Design, Automation & Test in …, 2024 - ieeexplore.ieee.org
Indoor localization has become increasingly vital for many applications from tracking assets
to delivering personalized services. Yet, achieving pinpoint accuracy remains a challenge …

AI and Machine Learning Driven Indoor Localization and Navigation with Mobile Embedded Systems

S Pasricha - arXiv preprint arXiv:2408.04797, 2024 - arxiv.org
Indoor navigation is a foundational technology to assist the tracking and localization of
humans, autonomous vehicles, drones, and robots in indoor spaces. Due to the lack of …

AI-Driven Indoor Navigation with Mobile Embedded Systems

S Pasricha - … Conference on Hardware/Software Codesign and …, 2024 - ieeexplore.ieee.org
Indoor navigation is a foundational technology to assist the tracking and localization of
humans, autonomous vehicles, drones, and robots in indoor spaces. Due to the lack of …

STELLAR: Siamese multiheaded attention neural networks for overcoming temporal variations and device heterogeneity with indoor localization

D Gufran, S Tiku, S Pasricha - IEEE Journal of Indoor and …, 2023 - ieeexplore.ieee.org
Smartphone-based indoor localization has emerged as a cost-effective and accurate
solution to localize mobile and IoT devices indoors. However, the challenges of device …

SAFELOC: Overcoming Data Poisoning Attacks in Heterogeneous Federated Machine Learning for Indoor Localization

A Singampalli, D Gufran, S Pasricha - arXiv preprint arXiv:2411.09055, 2024 - arxiv.org
Machine learning (ML) based indoor localization solutions are critical for many emerging
applications, yet their efficacy is often compromised by hardware/software variations across …