In real life,a large amount of data describing the same learning task may be stored in different institutions(called participants),and these data cannot be shared among par-ticipants due to privacy *** case that diffe...
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In real life,a large amount of data describing the same learning task may be stored in different institutions(called participants),and these data cannot be shared among par-ticipants due to privacy *** case that different attributes/features of the same instance are stored in different institutions is called vertically distributed *** pur-pose of vertical‐federated feature selection(FS)is to reduce the feature dimension of vertical distributed data jointly without sharing local original data so that the feature subset obtained has the same or better performance as the original feature *** solve this problem,in the paper,an embedded vertical‐federated FS algorithm based on particle swarm optimisation(PSO‐EVFFS)is proposed by incorporating evolutionary FS into the SecureBoost framework for the first *** optimising both hyper‐parameters of the XGBoost model and feature subsets,PSO‐EVFFS can obtain a feature subset,which makes the XGBoost model more *** the same time,since different participants only share insensitive parameters such as model loss function,PSO‐EVFFS can effec-tively ensure the privacy of participants'***,an ensemble ranking strategy of feature importance based on the XGBoost tree model is developed to effectively remove irrelevant features on each ***,the proposed algorithm is applied to 10 test datasets and compared with three typical vertical‐federated learning frameworks and two variants of the proposed algorithm with different initialisation ***-mental results show that the proposed algorithm can significantly improve the classifi-cation performance of selected feature subsets while fully protecting the data privacy of all participants.
In this chapter the Multi-commodity Market Model is applied for modelling virtual network market data. Two different auction models supporting VPN service trading are considered. The first one enables to specify VPN d...
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The electrical energy markets illustrate very well complexity of the infrastructure markets. Achieving the market balance, while maintaining its high efficiency, is a challenging task which requires both a rich commod...
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Managing a manufacturing company currently requires anticipating development scenarios, depending on unexpected changes that occur in the environment. One such change is the need to guarantee sustainable production (S...
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Managing a manufacturing company currently requires anticipating development scenarios, depending on unexpected changes that occur in the environment. One such change is the need to guarantee sustainable production (SP), including in the environmental aspect of indoor–outdoor air quality. In this paper, we propose the mobile monitoring of the level of outdoor air quality of enterprises, in a city, based on the parameter's values: CO2, O3, NO, H2S, PM1, PM2.5, PM4, PM10, SO2 using sensors located in the public transport therein, thanks to which it is possible to match, in real time, those outdoor spaces with the highest air pollution. Such outdoor monitoring of the results of the air quality should indicate exactly where, in a city, anything untoward is being produced. This should result in remedial action leading to ensuring good indoor and outdoor air quality. This paper also gives a real-life case study. The harmony, in managing a manufacturing company, is visible thanks to combining the data of the examination of air quality, analysing the acquired data and recommending remedial actions, before the level of air pollution becomes critical.
In this chapter we concern the trading platform as the system of independent software agents, which communicate with each other. Agents' interaction lead them to the exchange of commodities. Applying proper commun...
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This study cautions against the widespread use of biometrics modalities that only perform well under optimal conditions, and highlights the limitations of biometrics technology. Biometrics defines itself as what we ar...
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The paper focuses on the problem of robust fault detection using neuro- fuzzy model based strategies. The main objective of the work is to show how to employ bounding error approach to determine the uncertainty of the...
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This paper presents a relatively new identification method based on artificial neural networks, which can be used for both static and dynamic systems. In particular, a Group Method of Data Handling (GMDH) neural netwo...
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An extremely efficient technique is developed for maximizing the parameter estimation accuracy for systems modelled by partial differential equations in the presence of correlated measurement noise. The trace of the c...
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A subclass of Lévy-stable distributions, i.e., symmetric α-stable distributions (SαS), is applied to mutation operators of evolutionary strategies (1 + 1)ESα and (1 + λ)ES α. The local convergence rate of al...
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