Federated learning in edge computing: a systematic survey
Edge Computing (EC) is a new architecture that extends Cloud Computing (CC) services
closer to data sources. EC combined with Deep Learning (DL) is a promising technology …
closer to data sources. EC combined with Deep Learning (DL) is a promising technology …
An edge-fog computing-enabled lossless EEG data compression with epileptic seizure detection in IoMT networks
The need to improve smart health systems to monitor the health situation of patients has
grown as a result of the spread of epidemic diseases, the ageing of the population, the …
grown as a result of the spread of epidemic diseases, the ageing of the population, the …
Generic IoT for Smart Buildings and Field-Level Automation—Challenges, Threats, Approaches, and Solutions
A Ożadowicz - Computers, 2024 - mdpi.com
Smart home and building systems are popular solutions that support maintaining comfort
and safety and improve energy efficiency in buildings. However, dynamically develo** …
and safety and improve energy efficiency in buildings. However, dynamically develo** …
New fog computing enabled lossless EEG data compression scheme in IoT networks
The rapid evolution of the Internet of Things (IoT) leads to emerging several applications
such as smart home, ehealth, smart agriculture and farming, etc. The edge of the IoT …
such as smart home, ehealth, smart agriculture and farming, etc. The edge of the IoT …
A novel mechanism for misbehavior detection in vehicular networks
Intelligent Transport Systems (ITS) have provided new technologies to protect human life,
speed up assistance, and improve traffic, to aid drivers, passengers, and pedestrians …
speed up assistance, and improve traffic, to aid drivers, passengers, and pedestrians …
[HTML][HTML] Statistical comparison of time series models for forecasting brazilian monthly energy demand using economic, industrial, and climatic exogenous variables
Energy demand forecasting is crucial for effective resource management within the energy
sector and is aligned with the objectives of Sustainable Development Goal 7 (SDG7). This …
sector and is aligned with the objectives of Sustainable Development Goal 7 (SDG7). This …
Blockchain federated learning for in-home health monitoring
This research combines two emerging technologies, the IoT and blockchain, and
investigates their potential and use in the healthcare sector. In healthcare, IoT technology …
investigates their potential and use in the healthcare sector. In healthcare, IoT technology …
Where do all my smart home data go? Context-aware data generation and forwarding for edge-based microservices over shared IoT infrastructure
With the explosion of the Internet of Things (IoT) devices, the advent of the edge computing
paradigm, and the rise of intelligent applications for smart infrastructure surveillance, in …
paradigm, and the rise of intelligent applications for smart infrastructure surveillance, in …
Generic framework for multilingual short text categorization using convolutional neural network
Online social media is a powerful source of information that can influence users' decisions.
Due to the huge volume of data generated by such media, many researches have been …
Due to the huge volume of data generated by such media, many researches have been …
[HTML][HTML] Introducing Security Mechanisms in OpenFog-Compliant Smart Buildings
I Martín Toral, I Calvo, E Villar, JM Gil-García… - Electronics, 2024 - mdpi.com
Designing smart building IoT applications is a complex task. It requires efficiently integrating
a broad number of heterogeneous, low-resource devices that adopt lightweight strategies …
a broad number of heterogeneous, low-resource devices that adopt lightweight strategies …