Implementation of Federated Learning Algorithms for Non Independent and Identically Distributed Data
Abstract: Federated Learning (FL) has emerged as a transformative approach for training machine learning models across decentralized data sources while preserving privacy. This study evaluates the ...
Abstract: The Dynamic Vehicle Routing Problem with Time Windows (DVRPTW) is a widespread real-world challenge, and numerous algorithms have been proposed to address it. However, in the context of an ...
Abstract: Phishing is a widespread and dangerous form of cybercrime where attackers deceive users into disclosing sensitive information through fraudulent websites designed to mimic legitimate ones.
Abstract: Radio echo sounding (RES), a powerful remote geophysical technique, provides excellent insight into the characterization of subglacial environment. However, existing time-domain RES imaging ...
Abstract: In order to solve the problems of short network lifetime and high data transmission delay in data gathering for wireless sensor network (WSN) caused by uneven energy consumption among nodes, ...
Abstract: Accurate and continuous extraction of ice layer structures from airborne ice sounding radar data is critical for analyzing subglacial hydrothermal environments to support key applications ...
Abstract: This study proposes a distributed computing optimization framework based on MapReduce to address the problem of low efficiency in big data processing in mathematical modeling. The aim is to ...
Abstract: Meteorological data prediction belongs to the category of spatio-temporal data prediction, which is usually based on the radar image sequence of the past period to predict the radar image ...
Every time you press spin on an online slot, something happens in a fraction of a second that most players never think about. No lever is pulled. No physical reel turns. What actually happens is that ...
Abstract: Extensive channel measurement campaigns have shown that multipath components (MPCs) generally exhibit clustered distributions, making cluster-based models a cornerstone of wireless channel ...
Abstract: This paper analyzes and compensates for Data Age Error (DAE) in heterodyne interferometers under high-dynamic conditions, systematically elucidating the ...
Abstract: As a data center network (DCN) constructed using recursive modules, BCube enables efficient communication for decentralized machine learning systems. Its various variants, such as RCube and ...
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