Federated Learning for Human Activity Recognition: Overview, Advances, and Challenges
Human Activity Recognition (HAR) has seen remarkable advances in recent years, driven by
the widespread use of wearable devices and the increasing demand for personalized …
the widespread use of wearable devices and the increasing demand for personalized …
A privacy and energy-aware federated framework for human activity recognition
Human activity recognition (HAR) using wearable sensors enables continuous monitoring
for healthcare applications. However, the conventional centralised training of deep learning …
for healthcare applications. However, the conventional centralised training of deep learning …
FEDge-HAR: An Optimized Private Mobile Edge-Enabled IoT Paradigm for Privacy of Human Activity Recognition
Federated learning (FL) has emerged as a pivotal technology for the Internet of Things (IoT)
that models distributed client data without compromising privacy. The IoT-based wearable …
that models distributed client data without compromising privacy. The IoT-based wearable …
Split learning for human activity recognition
S Pavleska, V Rakovic, D Denkovski… - Signal Processing …, 2025 - Elsevier
Recent research on human activity recognition (HAR) has examined the utilization of
wearable devices in various applications, such as monitoring patients remotely, detecting …
wearable devices in various applications, such as monitoring patients remotely, detecting …