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Communication-Efficient Learning of Deep Networks from Decentralized Data. H. Brendan McMahan, Eider Moore, Daniel Ramage, Seth Hampson, Blaise Agüera y Arcas. Modern mobile devices have access to a wealth of data suitable for learning models, which in turn can greatly improve the user experience on the device.

In this article, we compare publication and citation coverage of the new Microsoft Academic with all other major sources for bibliometric data: Google Scholar, Scopus, and the Web of Science, using a sample of 145 academics in five broad disciplinary areas: Life Sciences, Sciences, Engineering, Social Sciences, and Humanities.

The measurements were conducted from mid-August to mid-October 2012 at the Institute of Earth Environment, Chinese Academy of Sciences in Xi'an, China (Fig. 1).Xi'an is located on the Guanzhong Plain at the south edge of the Loess Plateau 400 m above sea level.Samples were taken on the roof of a two-story building ~ 10 m above ground level (34.23°N, 108.88°E), ~ 50 …

Two partial orderings among communication channels, namely, `being degradable into' and `being less noisy than,' are reconsidered in the light of recent results about statistical comparisons of quantum channels. Though our analysis covers at once both classical and quantum channels, we also provide a separate treatment of classical noisy channels, and show how, in this case, …

Educational Research : Google Scholar Google Scholar & Find It Google Scholar searches across many disciplines and sources: peer-reviewed papers, theses, books, abstracts and articles, from academic publishers, professional societies, preprint …

We propose an approach to represent the legal data (legal norms and court decisions) of Austria and show how this data can be used to build a legal knowledge graph, usable in various applications for lawyers, attorneys, citizens or journalists. Download conference paper PDF.

G. Janacek. School of Computing Science University of East Anglia Norwich NR4 7TJ, UK. Search for more papers by this author

Obtaining a sufficient number of accurate labels to form a training set for learning a classifier can be difficult due to the limited access to reliable label resources. Instead, in real-world applications, less-accurate labels, such as labels from nonexpert labelers, are often used. However, learning with less-accurate labels can lead to serious performance deterioration because of the high ...

They can also be used to explore how schedule reliability may be affected by proposed changes in operating policies, for example, changes in minimum headways or dwell times, or changes in the infrastructure such as, layout of lines, platforms or signals. This model generates a reliability analysis for each train type, line and platform.

Understanding the flow of heat in materials just one or a few atoms thick is vital for harnessing them in compact electronic devices. Here, the authors present the temperature-dependent thermal ...

Ernst & Young LLP Date Written: April 20, 2004 Abstract This article provides an understanding of tax risk and its fundamental drivers, identifies potential gaps between tax departments and other stakeholders that may accentuate such risks, and offers suggestions on methods for quantifying and managing tax risk.