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Jaime Rincon, Vicente Julian and Carlos Carrascosa
In recent years federated learning has emerged as a new paradigm for training machine learning models oriented to distributed systems. The main idea is that each node of a distributed system independently trains a model and shares only model parameters, ...
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Sangsu Choi, Kajoong Yoon, Miae Kim, Jintak Yoo, Bonghyeon Lee, Inho Song and Jungyub Woo
Metaverse is a compound word of ?Meta? and ?Universe?, meaning a world that transcends reality, a new virtual world. Due to the COVID-19 pandemic, non-face-to-face further accelerated the activation of the Metaverse. The Metaverse has the attractiveness ...
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Evelina Forno, Alessandro Salvato, Enrico Macii and Gianvito Urgese
SpiNNaker is a neuromorphic hardware platform, especially designed for the simulation of Spiking Neural Networks (SNNs). To this end, the platform features massively parallel computation and an efficient communication infrastructure based on the transmis...
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David Pfander, Gregor Daiß and Dirk Pflüger
Clustering is an important task in data mining that has become more challenging due to the ever-increasing size of available datasets. To cope with these big data scenarios, a high-performance clustering approach is required. Sparse grid clustering is a ...
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Ekaterina O. Tyutlyaeva,Alexander A. Moskovsky,Igor O. Odintsov,Sergey S. Konyukhov,Alexey A. Poyda,Mikhail N. Zhizhin,Igor V. Polyakov
Pág. 15 - 23
A wide range of modern system architectures and platforms targeted for different algorithms and application areas is now available.Even general-purpose systems have advantages in some computation areas and bottlenecks in another. Scientific applications ...
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