1,720,997 research outputs found

    Fronteras: procesos y prácticas de integración y conflictos entre Europa y América (siglos XVI-XX)

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    The borders have attracted the attention of historians and social scientists as spaces of conflict, traffic, exchange or cooperation. The volume analyzes territories of contact as a historical global reality and not as isolated entitie

    Wireless edge machine learning. Resource allocation and trade-offs

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    The aim of this paper is to propose a resource allocation strategy for dynamic training and inference of machine learning tasks at the edge of the wireless network, with the goal of exploring the trade-off between energy, delay and learning accuracy. The scenario of interest is composed of a set of devices sending a continuous flow of data to an edge server that extracts relevant information running online learning algorithms, within the emerging framework known as Edge Machine Learning (EML). Taking into account the limitations of the edge servers, with respect to a cloud, and the scarcity of resources of mobile devices, we focus on the efficient allocation of radio (e.g., data rate, quantization) and computation (e.g., CPU scheduling) resources, to strike the best trade-off between energy consumption and quality of the EML service, including service end-to-end (E2E) delay and accuracy of the learning task. To this aim, we propose two different dynamic strategies: (i) The first method aims to minimize the system energy consumption, under constraints on E2E service delay and accuracy; (ii) the second method aims to optimize the learning accuracy, while guaranteeing an E2E delay and a bounded average energy consumption. Then, we present a dynamic resource allocation framework for EML based on stochastic Lyapunov optimization. Our low-complexity algorithms do not require any prior knowledge on the statistics of wireless channels, data arrivals, and data probability distributions. Furthermore, our strategies can incorporate prior knowledge regarding the model underlying the observed data, or can work in a totally data-driven fashion. Several numerical results on synthetic and real data assess the performance of the proposed approach

    Dynamic computation offloading in multi-access edge computing via ultra-reliable and low-latency communications

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    The goal of this work is to propose an energy-efficient algorithm for dynamic computation offloading, in a multi-access edge computing scenario, where multiple mobile users compete for a common pool of radio and computational resources. We focus on delay-critical applications, incorporating an upper bound on the probability that the overall time required to send the data and process them exceeds a prescribed value. In a dynamic setting, the above constraint translates into preventing the sum of the communication and computation queues' lengths from exceeding a given value. Ultra-reliable low latency communications (URLLC) are also taken into account using finite blocklengths and reliability constraints. The proposed algorithm, based on stochastic optimization, strikes an optimal balance between the service delay and the energy spent at the mobile device, while guaranteeing a target out-of-service probability. Starting from a long-term average optimization problem, our algorithm is based on the solution of a convex problem in each time slot, which is provided with a very fast iterative strategy. Finally, we extend the approach to mobile devices having energy harvesting capabilities, typical of Internet of Things scenarios, thus devising an energy efficient dynamic offloading strategy that stabilizes the battery level of each device around a prescribed operating level

    Dynamic resource optimization for adaptive federated learning at the wireless network edge

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    The aim of this paper is to propose a novel dynamic resource allocation strategy for energy-efficient federated learning at the wireless network edge, with latency and learning performance guarantees. We consider a set of devices collecting local data and uploading processed information to an edge server, which runs stochastic gradient descent (SGD) to perform distributed learning and adaptation. Hinging on Lyapunov stochastic optimization tools, we dynamically optimize radio parameters (i.e., set of transmitting devices, transmit powers) and computation resources (i.e., CPU cycles at devices and at server) in order to strike the best trade-off between energy, latency, and performance of the federated learning task. The general framework is then customized to the case of federated least mean squares (LMS) estimation. Numerical results illustrate the effectiveness of our strategy to perform energy-efficient, low-latency, federated machine learning at the wireless network edge

    Entre Mediterraneo y Atlantico: reflexiones sobre las fronteras

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    Nell’ultima decade del secolo scorso, il tema della “frontiera” si è imposto tanto nel dibattito politico, nazionale e internazionale, quanto nella riflessione storica (ma non solo) volta a recuperare nel passato le origini di problematiche di estrema attualità. Da allora, le complesse dinamiche sociali che hanno investito in particolar modo l’area mediterranea, hanno fatto sì che l’interesse per il significato storico delle frontiere non si esaurisse, bensì allargasse progressivamente lo spettro d’indagine per riportare alla luce processi di integrazione ed esclusione, di contrattazione e opposizione. La messa in discussione di identità e appartenenza, risultato della progressiva intensificazione della mobilità delle società contemporanee, così come il tentativo di regolamentare la permeabilità delle frontiere, hanno fortemente sollecitato a rivolgere lo sguardo al passato per cogliere continuità e mutamenti nella gestione delle aree di confine. Ma non solo; la complessità semantica e concettuale della frontiera - evidenziata da storici, antropologi, geografi e sociologi - obbliga a considerare quest’ultima un osservatorio privilegiato delle molteplici dinamiche che sono alla base di ogni relazione umana

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed

    Fronteras de rito: los arzobispos de Monreale y los católicos de rito griego (siglos XVI-XVIII)

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    Conflitti e contaminazioni tra cattolici latini e greci visti attraverso l'occhio degli arcivescovi di Monreale in visita alla propria dioces

    En los confines del la «Immensa Monarchia». América, Caupolicán y Sicilia

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    El ensayo se articula en torno al monumento erigido en Palermo en 1661 en honor de Felipe IV, en el que se representan alegóricamente las cuatro partes del mundo dominado por el poder del soberano español, expresión de la totalidad del mundo hasta ahora geográficamente conocido, pero al mismo tiempo, de la universalidad de la monarquía española, que encuentra en Felipe IV su síntesis. Dos años más tarde, Francesco Strada, secretario del Senado palermitano, escribió una descripción iconográfica del monumento, que constituye una interesante guía de lectura. La trama narrativa desarrolla un itinerario «barroco», donde geografía, historia, arte y mito se entrelazan dando lugar a una representación de claro propósito conmemorativo, donde las lenguas se mezclan y los lugares son espacios geográficos conocidos de forma indirecta y condicionada por la tradición cultural y religiosa, sobre todo de origen jesuítico, que por entonces se propagaba ampliamente en Europa. La frontera está en los límites del imperio, donde se combate contra la tiranía de los bárbaros, tanto en Asia como en África o en América, desde Chile a Filipinas. El motivo dominante es el de la diversidad que, sin embargo, «l'immensa Monarchia unita nelle leggi e nell'obbedienza», gracias a su soberano, es capaz de unificar
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