Federated learning (FL) is a distributed machine learning strategy that generates a global model by learning from multiple decentralized edge clients. FL enables on-device training …
Home appliance manufacturers strive to obtain feedback from users to improve their products and services to build a smart home system. To help manufacturers develop a smart …
C Feng, B Liu, K Yu, SK Goudos… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Motivated by Industry 4.0, 5G-enabled unmanned aerial vehicles (UAVs; also known as drones) are widely applied in various industries. However, the open nature of 5G networks …
Healthcare is predominantly regarded as a crucial consideration in promoting the general physical and mental health and well‐being of people around the world. The amount of data …
With the expansion of intelligent services and applications powered by Artificial Intelligence (AI), the Internet of Things (IoT) permeates many aspects of our everyday lives. In order to …
Y Zhang, T Gu, X Zhang - Proceedings of the 18th Conference on …, 2020 - dl.acm.org
Mobile Deep Learning (MDL) has emerged as a privacy-preserving learning paradigm for mobile devices. This paradigm offers unique features such as privacy preservation …
To date, convolutional neural networks have played a dominant role in sensor-based human activity recognition (HAR) scenarios. In 2021, researchers from four institutions almost …
Recent advances in sensor technology are expected to lead to a greater use of wireless sensor networks (WSNs) in industry, logistics, healthcare, etc. On the other hand, advances …
Q Song, Z Yan, R Tan - ACM Transactions on Sensor Networks (TOSN), 2021 - dl.acm.org
Deep learning-based visual sensing has achieved attractive accuracy but is shown vulnerable to adversarial attacks. Specifically, once the attackers obtain the deep model …