Zobrazeno 1 - 10
of 665
pro vyhledávání: '"Bessani, A"'
Consensus stands as a fundamental building block for constructing reliable and fault-tolerant distributed services. The increasing demand for high-performance and scalable blockchain protocols has brought attention to solving consensus in scenarios w
Externí odkaz:
http://arxiv.org/abs/2405.06055
Consensus is a fundamental building block for constructing reliable and fault-tolerant distributed services. Many Byzantine fault-tolerant consensus protocols designed for partially synchronous systems adopt a pessimistic approach when dealing with a
Externí odkaz:
http://arxiv.org/abs/2405.04606
Knowledge sharing about emerging threats is crucial in the rapidly advancing field of cybersecurity and forms the foundation of Cyber Threat Intelligence (CTI). In this context, Large Language Models are becoming increasingly significant in the field
Externí odkaz:
http://arxiv.org/abs/2401.15127
Autor:
Bessani, Alysson, Correia, Miguel, Distler, Tobias, Kapitza, Rüdiger, Esteves-Verissimo, Paulo, Yu, Jiangshan
A recent paper by Gupta et al. (EuroSys'23) challenged the usefulness of trusted component (TC) based Byzantine fault-tolerant (BFT) protocols to lower the replica group size from $3f+1$ to $2f+1$, identifying three limitations of such protocols and
Externí odkaz:
http://arxiv.org/abs/2312.05714
The performance of distributed storage systems deployed on wide-area networks can be improved using weighted (majority) quorum systems instead of their regular variants due to the heterogeneous performance of the nodes. A significant limitation of we
Externí odkaz:
http://arxiv.org/abs/2306.03185
Byzantine Consensus is fundamental for building consistent and fault-tolerant distributed systems. In traditional quorum-based consensus protocols, quorums are defined using globally known assumptions shared among all participants. Motivated by decen
Externí odkaz:
http://arxiv.org/abs/2305.17989
Blockchain technology sparked renewed interest in planetary-scale Byzantine fault-tolerant (BFT) state machine replication (SMR). While recent works predominantly focused on improving the scalability and throughput of these protocols, few of them add
Externí odkaz:
http://arxiv.org/abs/2305.15000
Autor:
Mika, Kevin, Griessl, René, Kucza, Nils, Porrmann, Florian, Kaiser, Martin, Tigges, Lennart, Hagemeyer, Jens, Trancoso, Pedro, Azhar, Muhammad Waqar, Qararyah, Fareed, Zouzoula, Stavroula, Ménétrey, Jämes, Pasin, Marcelo, Felber, Pascal, Marcus, Carina, Brunnegard, Oliver, Eriksson, Olof, Salomonsson, Hans, Ödman, Daniel, Ask, Andreas, Casimiro, Antonio, Bessani, Alysson, Carvalho, Tiago, Gugala, Karol, Zierhoffer, Piotr, Latosinski, Grzegorz, Tassemeier, Marco, Porrmann, Mario, Heyn, Hans-Martin, Knauss, Eric, Mao, Yufei, Meierhöfer, Franz
Publikováno v:
CF'23: 20th ACM International Conference on Computing Frontiers, May 2023, Bologna, Italy
The VEDLIoT project aims to develop energy-efficient Deep Learning methodologies for distributed Artificial Intelligence of Things (AIoT) applications. During our project, we propose a holistic approach that focuses on optimizing algorithms while add
Externí odkaz:
http://arxiv.org/abs/2305.05388
Autor:
Kaiser, Martin, Griessl, Rene, Kucza, Nils, Haumann, Carola, Tigges, Lennart, Mika, Kevin, Hagemeyer, Jens, Porrmann, Florian, Rückert, Ulrich, dem Berge, Micha vor, Krupop, Stefan., Porrmann, Mario, Tassemeier, Marco, Trancoso, Pedro, Quararyah, Fareed, Zouzoula, Stavroula, Casimiro, Antonio, Bessani, Alysson, Cecilio, Jose, Andersson, Stefan, Brunnegard, Oliver, Eriksson, Olof, Weiss, Roland, Meierhöfer, Franz, Salomonsson, Hans, Malekzadeh, Elaheh, Ödman, Daniel, Khurshid, Anum, Felber, Pascal, Pasin, Marcelo, Schiavoni, Valerio, Ménétrey, Jämes, Gugula, Karol, Zierhoffer, Piotr, Knauss, Eric, Heyn, Hans-Martin
Publikováno v:
DATE'22: Proceedings of the 25th Conference & Exhibition on Design, Automation & Test in Europe, March 2022, pp. 963-968
The VEDLIoT project targets the development of energy-efficient Deep Learning for distributed AIoT applications. A holistic approach is used to optimize algorithms while also dealing with safety and security challenges. The approach is based on a mod
Externí odkaz:
http://arxiv.org/abs/2207.00675
Autor:
Daiana Alves Vendramel da Costa, Cássia Janne Nonato da Costa, Moisés Kogien, Larissa Bessani Hidalgo Gimenez, Edilaine Cristina da Silva Gherardi-Donato, Luiz Jorge Pedrão
Publikováno v:
Revista Brasileira de Enfermagem, Vol 77, Iss 4 (2024)
ABSTRACT Objective: to identify the scientific evidence available in national and international literature on the relationships between nursing students’ mindfulness and emotional regulation. Methods: an integrative literature review, in four datab
Externí odkaz:
https://doaj.org/article/648a89791a0542f2839131aead952ed6
