1,721,490 research outputs found
DCFL: Dynamic Clustered Federated Learning under Differential Privacy Settings
No full textFederated Learning (FL) allows training machine learning models on a dataset distributed amongst multiple clients without disclosing sensitive data. Each FL client, however, might have a different data distribution, with a detrimental effect on the performance of the trained model. In this paper, we present a dynamic clustering algorithm (DCFL) that allows the server to cluster FL clients based on their model updates, letting the server adapt to changes in the data distribution and supporting the addition of new clients. Moreover, we propose a novel distance metric to estimate the distance between model updates by different clients. We evaluate our approach in a wide range of experimental settings, comparing it against the standard FedAvg algorithm and divisive clustering on the EMNIST dataset. Our approach outperforms the baselines, yielding higher accuracy and lower variance for the participating clients
Modifica superficiale di film di poli(etilene-co-acido acrilico) con nanoparticelle di silice attivata
No full textA Privacy-Preserving System for Enhancing the QoI of Collected Data in a Smart Connected Community
No full textThe Smart Connected Communities paradigm, which synergistically integrates smart technologies with the surrounding environment, has paved the way for a new generation of applications that provide increasingly intelligent services by leveraging information coming from users, and the IoT. While user collaboration is essential to improve the quality of information (QoI), the interest of providers in data can jeopardize the right to privacy by revealing details that users are not willing to share (e.g., habits, health status). In addition, not all involved users consistently exhibit cooperative behavior, and the presence of attackers often undermines the quality of the collected information. In this paper, we propose a system for aggregating and analyzing user data without ever compromising their privacy, whilst improving QoI. The system uses Privacy Preserving Computation techniques, clustering, and an outlier removal step to improve the quality of information. Utilizing a real-world dataset, we tested our system, demonstrating its resilience in a scenario with potential attackers and its superior performance compared to other state-of-the-art systems
Cystic lymphangioma of adrenal gland. Case report and review of the literature
Full text linkIl linfoangioma surrenalico cistico è una neoplasia beni-
gna rara che origina da una ectasia dei vasi linfatici; questa
lesione si localizza, più frequentemente, nella regione del collo,
ascellare e mediastinica.
Lo scopo di questo studio è descrivere il caso di una
donna di 60 anni con dolore addominale ricorrente che si è sot-
toposta ad un esame ecografico che ha mostrato la presenza di
una massa cistica in corrispondenza del polo superiore del
rene; quindi l’origine della massa, il surrene, è stata identificata
attraverso la Tomografia Compiuterizzata, eseguita con mezzo
di contrasto. Successivamente la paziente ha effettuato la
Risonanza Magnetica che ha meglio caratterizzato la lesione; la
Risonanza Magnetica ha suggerito la diagnosi di linfoangioma
cistico attraverso la diagnosi differenziale tra masse solide e
cistiche.Infine la diagnosi radiologica è stata confermata dalla
biopsiaCystic lymphangioma of adrenal gland (CL) is a rare benign neoplasm that begin from an ectasia of lynfatic vessel; this lesion is localized, most frequently, in neck, axillary and mediastinal region. The purpose of this study is to describe the case of a 60 years old patient with recurrent abdominal pain that underwent ultrasound scan that showed a cystic mass in upper renal pole; than the origin of the mass, the adrenal gland, was identify by Computer Tomography, performed using contrast material. Subsequently the patient underwent to Magnetic Resonance (MR) that better characterized the lesion; MR was enabled to suggest CL by differential diagnosis between solid and cystic mass of adrenal gland. Finally radiological diagnosis was confirmed from biopsy
Towards a smart campus through participatory sensing
No full textIn recent years, the percentage of the population owning a smartphone has increased significantly. These devices provide users with more and more functions that make them real sensing platforms. Exploiting the capabilities offered by smartphones, users can collect data from the surrounding environment and share them with other entities in the network thanks to existing communication infrastructures, i.e., 3G/4G/5G or WiFi. In this work, we present a system based on participatory sensing paradigm using smartphones to collect and share local data in order to monitor make a campus 'smart'. In particular, our system infers the activities performed by users (e.g., students) in a campus in order to identify trends and behavioral patterns. This information allows the system to decide in real-Time which actions are needed to provide the best possible services to users, according to their needs and preferences
Micro-architecture of three-dimensional porous scaffolds evaluated via image processing technique
No full textThe effect of processing and molecular weight of poly(ethylenglycol) of polylactide-based scaffolds on viability and cell adhesion of SkHep1 cells
No full textDistributed Symbolic Network Quality Assessment for Resource-constrained Devices
Full text linkAfter a Wireless Sensor Network (WSN) is deployed it is subject to significant variations of the quality of its radio links during its lifetime. Knowledge of the condition of the wireless links can be useful to optimize power consumption and increase the reliability of the network. However, resource-constrained nodes may not be able to spare the storage space for network monitoring code. Also, reprogramming deployed nodes can be costly or unfeasible. In this work, we show how an approach based on the exchange of symbolic executable code among nodes enables the assessment of the network status in terms of Packet Reception Rate (PRR) with no extra storage requirements on deployed networks. We also compare the predictions made through this estimate with the actual network behavior
A Smart Assistant for Visual Recognition of Painted Scenes
Full text linkNowadays, smart devices allow people to easily interact with the surrounding environment thanks to existing communication infrastructures, i.e., 3G/4G/5G or WiFi. In the context of a smart museum, data shared by visitors can be used to provide innovative services aimed to improve their cultural experience. In this paper, we consider as case study the painted wooden ceiling of the Sala Magna of Palazzo Chiaramonte in Palermo, Italy and we present an intelligent system that visitors can use to automatically get a description of the scenes they are interested in by simply pointing their smartphones to them. As compared to traditional applications, this system completely eliminates the need for indoor positioning technologies, which are unfeasible in many scenarios as they can only be employed when museum items are physically distinguishable. Experimental analysis aimed to evaluate the performance of the system in terms of accuracy of the recognition process, and the obtained results show its effectiveness in a real-world application scenario
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