Federated Learning for Activity Recognition: A System Level Perspective

Federated Learning for Activity Recognition: A System Level Perspective

The past decade has seen substantial growth in the prevalence and capabilities of wearable devices. For instance, recent human activity recognition (HAR) research has explored using wearable devices in applications such as remote monitoring of patients, detection of gait abnormalities, and cognitive...

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Bibliographic Details
Main Authors: Stefan Kalabakov, Borche Jovanovski, Daniel Denkovski, Valentin Rakovic, Bjarne Pfitzner, Orhan Konak, Bert Arnrich, Hristijan Gjoreski
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Human activity recognition
federated learning
deep learning
system-level aspects
different and heterogeneous sensor placements
FL optimizers
Online Access:https://ieeexplore.ieee.org/document/10162197/

Internet

https://ieeexplore.ieee.org/document/10162197/

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