Federated learning for internet of things: A comprehensive survey
The Internet of Things (IoT) is penetrating many facets of our daily life with the proliferation of
intelligent services and applications empowered by artificial intelligence (AI). Traditionally …
intelligent services and applications empowered by artificial intelligence (AI). Traditionally …
A survey on federated learning for resource-constrained IoT devices
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 …
model by learning from multiple decentralized edge clients. FL enables on-device training …
Privacy-preserving blockchain-based federated learning for IoT devices
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 …
products and services to build a smart home system. To help manufacturers develop a smart …
Blockchain-empowered decentralized horizontal federated learning for 5G-enabled UAVs
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 …
drones) are widely applied in various industries. However, the open nature of 5G networks …
A comprehensive survey on federated learning techniques for healthcare informatics
K Dasaradharami Reddy… - Computational …, 2023 - Wiley Online Library
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 …
physical and mental health and well‐being of people around the world. The amount of data …
Survey on Federated Learning enabling indoor navigation for industry 4.0 in B5G
SH Alsamhi, AV Shvetsov, A Hawbani… - Future Generation …, 2023 - Elsevier
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 …
(AI), the Internet of Things (IoT) permeates many aspects of our everyday lives. In order to …
MDLdroidLite: A release-and-inhibit control approach to resource-efficient deep neural networks on mobile devices
Mobile Deep Learning (MDL) has emerged as a privacy-preserving learning paradigm for
mobile devices. This paradigm offers unique features such as privacy preservation …
mobile devices. This paradigm offers unique features such as privacy preservation …
Patchhar: A mlp-like architecture for efficient activity recognition using wearables
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 …
activity recognition (HAR) scenarios. In 2021, researchers from four institutions almost …
Context-Aware Edge-Based AI Models for Wireless Sensor Networks—An Overview
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 …
sensor networks (WSNs) in industry, logistics, healthcare, etc. On the other hand, advances …
DeepMTD: Moving target defense for deep visual sensing against adversarial examples
Deep learning-based visual sensing has achieved attractive accuracy but is shown
vulnerable to adversarial attacks. Specifically, once the attackers obtain the deep model …
vulnerable to adversarial attacks. Specifically, once the attackers obtain the deep model …