2 Search Results for "Collins, Christopher"


Document
Visual Text Analytics (Dagstuhl Seminar 22191)

Authors: Christopher Collins, Antske Fokkens, Andreas Kerren, Chris Weaver, and Angelos Chatzimparmpas

Published in: Dagstuhl Reports, Volume 12, Issue 5 (2022)


Abstract
Text data is one of the most abundant types of data available, produced every day across all domains of society. Understanding the contents of this data can support important policy decisions, help us understand society and culture, and improve business processes. While machine learning techniques are growing in their power for analyzing text data, there is still a clear role for human analysis and decision-making. This seminar explored the use of visual analytics applied to text data as a means to bridge the complementary strengths of people and computers. The field of visual text analytics applies visualization and interaction approaches which are tightly coupled to natural language processing systems to create analysis processes and systems for examining text and multimedia data. During the seminar, interdisciplinary working groups of experts from visualization, natural language processing, and machine learning examined seven topic areas to reflect on the state of the field, identify gaps in knowledge, and create an agenda for future cross-disciplinary research. This report documents the program and the outcomes of Dagstuhl Seminar 22191 "Visual Text Analytics".

Cite as

Christopher Collins, Antske Fokkens, Andreas Kerren, Chris Weaver, and Angelos Chatzimparmpas. Visual Text Analytics (Dagstuhl Seminar 22191). In Dagstuhl Reports, Volume 12, Issue 5, pp. 37-91, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2022)


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@Article{collins_et_al:DagRep.12.5.37,
  author =	{Collins, Christopher and Fokkens, Antske and Kerren, Andreas and Weaver, Chris and Chatzimparmpas, Angelos},
  title =	{{Visual Text Analytics (Dagstuhl Seminar 22191)}},
  pages =	{37--91},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2022},
  volume =	{12},
  number =	{5},
  editor =	{Collins, Christopher and Fokkens, Antske and Kerren, Andreas and Weaver, Chris and Chatzimparmpas, Angelos},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DagRep.12.5.37},
  URN =		{urn:nbn:de:0030-drops-174432},
  doi =		{10.4230/DagRep.12.5.37},
  annote =	{Keywords: Information visualization, visual text analytics, visual analytics, text visualization, explainable ML for text analytics, language models, text mining, natural language processing}
}
Document
Brief Announcement
Brief Announcement: Ordered Reliable Broadcast and Fast Ordered Byzantine Consensus for Cryptocurrency

Authors: Pouriya Zarbafian and Vincent Gramoli

Published in: LIPIcs, Volume 209, 35th International Symposium on Distributed Computing (DISC 2021)


Abstract
The problem of transaction reordering in blockchains, also known as the blockchain anomaly [Christopher Natoli and Vincent Gramoli, 2016], can lead to fairness limitations [Kelkar et al., 2020] and front-running activities [Philip Daian et al., 2020] in cryptocurrency. To cope with this problem despite f < n/3 byzantine processes, Zhang et al. [Zhang et al., 2020] have introduced the ordering linearizability property ensuring that if two transactions or commands are perceived by all correct processes in the same order, then they are executed in this order. They proposed a generic distributed protocol that first orders commands and then runs a leader-based consensus protocol to agree on these orders, hence requiring at least 11 message delays. In this paper, we parallelize the ordering with the execution of the consensus to require only 6 message delays. For the ordering, we introduce the ordered reliable broadcast primitive suitable for broadcast-based cryptocurrencies (e.g., [Daniel Collins et al., 2020]). For the agreement, we build upon the DBFT leaderless consensus protocol [Tyler Crain et al., 2018] that was recently formally verified [Bertrand et al., 2021]. The combination is thus suitable to ensure ordering linearizability in consensus-based cryptocurrencies (e.g., [Tyler Crain et al., 2021]).

Cite as

Pouriya Zarbafian and Vincent Gramoli. Brief Announcement: Ordered Reliable Broadcast and Fast Ordered Byzantine Consensus for Cryptocurrency. In 35th International Symposium on Distributed Computing (DISC 2021). Leibniz International Proceedings in Informatics (LIPIcs), Volume 209, pp. 63:1-63:4, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2021)


Copy BibTex To Clipboard

@InProceedings{zarbafian_et_al:LIPIcs.DISC.2021.63,
  author =	{Zarbafian, Pouriya and Gramoli, Vincent},
  title =	{{Brief Announcement: Ordered Reliable Broadcast and Fast Ordered Byzantine Consensus for Cryptocurrency}},
  booktitle =	{35th International Symposium on Distributed Computing (DISC 2021)},
  pages =	{63:1--63:4},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-210-5},
  ISSN =	{1868-8969},
  year =	{2021},
  volume =	{209},
  editor =	{Gilbert, Seth},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/LIPIcs.DISC.2021.63},
  URN =		{urn:nbn:de:0030-drops-148655},
  doi =		{10.4230/LIPIcs.DISC.2021.63},
  annote =	{Keywords: distributed algorithm, consensus, reliable broadcast, byzantine fault tolerance, linearizability, blockchain}
}
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