FEDERATED LEARNING IN SMALL-CELL NETWORKS: STOCHASTIC GEOMETRY-BASED ANALYSIS ON THE REQUIRED BASE STATION DENSITY

Federated Learning in Small-Cell Networks: Stochastic Geometry-Based Analysis on the Required Base Station Density

Recently, federated learning (FL) has been receiving great attention as an effective machine learning method to avoid the security issue in raw data collection, as well as to distribute the computing load to edge devices.However, even though wireless communication is an essential component Door Mats for implementing FL in edge networks, there have

read more

Localizing Energy Sources and Sinks in Plates Using Power Flow Maps Computed From Laser Vibrometer Measurements

This paper presents an experimental method especially adapted for the computation of structural power flow using spatially dense vibration data measured with scanning laser Doppler vibrometers.In the proposed method, the operational deflection shapes measured over the surface of the structure are curve-fitted using a two-dimensional discrete Fourie

read more

Field study of system efficiency of detached house with solar energy system and fuel cell cogeneration system in Japan

In this study, the energy flow in detached houses in Sendai City in the Tohoku region of Japan where photovoltaic power generation system, solar thermal collection system, and fuel cell cogeneration system were installed was analyzed based on measured SHARP VISION CLAIRE data.Hot water obtained by solar heat collected in the house is used to supply

read more

Tobacco use and asking prices of used cars: prevalence, costs, and new opportunities for changing smoking behavior

Secondhand smoke (SHS) causes premature death and disease in children and adults, and the scientific evidence indicates that there is no risk-free level of exposure to SHS.Smoking tobacco in a car can pollute the microenvironment of the car with residual SHS, leaving telltale signs to potential buyers (e.g., odor, used ash tray).This study examined

read more

Unveiling the multifunctionality of iron oxide nanoparticle: A synergistic experimental and computational investigation

Iron oxide nanoparticles (IONPs) are known for their multifunctionality in diverse biomedical, environmental, and catalytic areas, controlled by their size, shape, phase, and surface properties.Thermal decomposition, sol-gel, co-precipitation, hydrothermal techniques, and green synthesis are the different ways to synthesize IONPs.These techniques o

read more