Federated Learning (FL) represents the de facto approach for distributed training of machine learning models.
Nevertheless, researchers have identified several security and privacy FL issues. Among these, the lack of
anonymity exposes FL to linkability attacks, representing a risk for model...
01a Articolo in rivista
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We present a device-centric analysis of security and privacy attacks and defenses on extended reality (XR) devices. We present future research directions and propose design considerations to help ensure the security and privacy of XR devices.
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Purpose: This paper investigates the role of the founder CEO and board independence in shaping the way in which Indian and Italian family firms (FFs) pursue international growth via two modes, that is exports and FDI. This article claims that country's context matters in determining the...
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Advancing our understanding of complex diseases necessitates an interdisciplinary dialogue beyond artificial intelligence (AI) in the field of medicine. Two decades after the completion of the Human Genome Project, genetic sequencing has facilitated targeted therapies for gene mutation-related...
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A Model Predictive Control Algorithm for the Reconfiguration of Radially Operated Grids with IslandsAbstract This paper proposes a reconfiguration algorithm for electricity grids, based on Model Predictive Control (MPC). Reconfiguration is dynamically performed to reduce losses, and in reaction to adverse events, such as faults or attacks. Most of the previous works in the literature (including a...
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This letter proposes a control allocation framework to cope with the windup problem that may arise when input limitations are present. Our approach hinges on the design of a dynamic input allocator composed of an optimizer and an annihilator, proposing several policies for designing the dynamics of...
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In drug design, compound potency prediction is a popular machine learning application. Graph neural networks (GNNs) predict ligand affinity from graph representations of protein–ligand interactions typically extracted from X-ray structures. Despite some promising findings leading to claims that...
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Machine learning (ML) algorithms are extensively used in pharmaceutical research. Most ML models have black-box character, thus preventing the interpretation of predictions. However, rationalizing model decisions is of critical importance if predictions should aid in experimental design....
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In this paper the aerothermal heating of a reusable launch vehicle is reconstructed on the basis of temperature measurements taken in the thermal protection system of this vehicle. The discussed integrated thermal protection system is composed of three layers. Mathematical model, describing the...
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In this paper, a new mechanism for detecting population stagnation based on the analysis of the local improvement of the evaluation function and the infinite impulse response filter is proposed. The purpose of this mechanism is to improve the population stagnation detection capability for various...