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Related papers: Directed Acyclic Graph Based Blockchain Systems

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This paper describes how Distributed Ledger Technologies can be used to design a class of cyber-physical systems, as well as to enforce social contracts and to orchestrate the behaviour of agents trying to access a shared resource. The…

Systems and Control · Computer Science 2019-11-12 Pietro Ferraro , Christopher King , Robert Shorten

This paper presents AdaChain, a learning-based blockchain framework that adaptively chooses the best permissioned blockchain architecture in order to optimize effective throughput for dynamic transaction workloads. AdaChain addresses the…

Cryptography and Security · Computer Science 2023-07-19 Chenyuan Wu , Bhavana Mehta , Mohammad Javad Amiri , Ryan Marcus , Boon Thau Loo

As a disruptive technology, blockchain, particularly its original form of bitcoin as a type of digital currency, has attracted great attentions. The innovative distributed decision making and security mechanism lay the technical foundation…

Cryptography and Security · Computer Science 2018-12-21 Ameer Tamoor Khan , Xinwei Cao , Shuai Li

We introduce the theoretical foundations of the Tangle 2.0, a probabilistic leaderless consensus protocol based on a directed acyclic graph (DAG) called the Tangle. The Tangle naturally succeeds the blockchain as its next evolutionary step…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-10-13 Sebastian Müller , Andreas Penzkofer , Nikita Polyanskii , Jonas Theis , William Sanders , Hans Moog

Learning a faithful directed acyclic graph (DAG) from samples of a joint distribution is a challenging combinatorial problem, owing to the intractable search space superexponential in the number of graph nodes. A recent breakthrough…

Machine Learning · Computer Science 2019-04-24 Yue Yu , Jie Chen , Tian Gao , Mo Yu

It is undeniable that artificial intelligence (AI) and blockchain concepts are spreading at a phenomenal rate. Both technologies have distinct degree of technological complexity and multi-dimensional business implications. However, a common…

Artificial Intelligence · Computer Science 2018-10-24 Tshilidzi Marwala , Bo Xing

Bayesian network is a frequently-used method for fault detection and diagnosis in industrial processes. The basis of Bayesian network is structure learning which learns a directed acyclic graph (DAG) from data. However, the search space…

Artificial Intelligence · Computer Science 2023-02-07 Zhichao Chen , Zhiqiang Ge

Mainly motivated by the problem of modelling directional dependence relationships for multivariate count data in high-dimensional settings, we present a new algorithm, called learnDAG, for learning the structure of directed acyclic graphs…

Methodology · Statistics 2024-06-10 Thi Kim Hue Nguyen , Monica Chiogna , Davide Risso

Blockchain and Distributed ledger Technologies are increasingly becoming key enablers for vital innovation in financial services, manufacturing, government and other industries. One of the biggest challenges though is the level of support…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-05-04 Marcelle von Wendland

The Smart Grid (SG) concept presented an unprecedented opportunity to move the energy sector to more availability, reliability, and efficiency to improve our economic and environmental conditions. Renewable energy sources (Solar & Wind) are…

Computers and Society · Computer Science 2024-06-04 H. Sami Ullah , S. Aslam

There has been a growing interest in causal learning in recent years. Commonly used representations of causal structures, including Bayesian networks and structural equation models (SEM), take the form of directed acyclic graphs (DAGs). We…

Machine Learning · Computer Science 2025-11-20 Pavel Rytir , Ales Wodecki , Jakub Marecek

Blockchain technology has emerged as a disruptive force with transformative potential across numerous industries, promising efficient and automated solutions that can revolutionize traditional systems. By leveraging decentralized ledger…

Software Engineering · Computer Science 2023-11-15 Md. Raisul Hasan Shahrukh , Md. Tabassinur Rahman , Nafees Mansoor

Order fairness in distributed ledgers refers to properties that relate the order in which transactions are sent or received to the order in which they are eventually finalized, i.e., totally ordered. The study of such properties is…

Cryptography and Security · Computer Science 2025-03-18 Erwan Mahe , Sara Tucci-Piergiovanni

This paper presents the current state of the art on attack and defense modeling approaches that are based on directed acyclic graphs (DAGs). DAGs allow for a hierarchical decomposition of complex scenarios into simple, easily understandable…

Cryptography and Security · Computer Science 2013-04-01 Barbara Kordy , Ludovic Piètre-Cambacédès , Patrick Schweitzer

Assuming a directed acyclic graph (DAG) that represents prior knowledge of causal relationships between variables is a common starting point for cause-effect estimation. Existing literature typically invokes hypothetical domain expert…

Machine Learning · Statistics 2025-03-11 Kirtan Padh , Zhufeng Li , Cecilia Casolo , Niki Kilbertus

Blockchain, the backbone of Bitcoin, has recently gained a lot of attention. Blockchain functions as an immutable record that enables decentralized transactions. Blockchain-based applications are sprouting up in a variety of industries,…

Cryptography and Security · Computer Science 2023-03-23 Aakash Garg , Ankit Tyagi , Anant Patel , Divyansh Raj

Access to the system resources. The current access control systems face many problems, such as the presence of the third-party, inefficiency, and lack of privacy. These problems can be addressed by blockchain, the technology that received…

Cryptography and Security · Computer Science 2019-08-23 Sara Rouhani , Ralph Deters

Blockchain technology is a distributed, decentralized, and immutable ledger system. It is the platform of choice for managing smart contract transactions (SCTs). Smart contracts are self-executing codes of agreement between interested…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-03-06 Manaswini Piduguralla , Saheli Chakraborty , Parwat Singh Anjana , Sathya Peri

Directed acyclic graph (DAG) has been widely employed to represent directional relationships among a set of collected nodes. Yet, the available data in one single study is often limited for accurate DAG reconstruction, whereas heterogeneous…

Machine Learning · Statistics 2023-10-17 Mingyang Ren , Xin He , Junhui Wang

Blockchain technology and Artificial Intelligence (AI) have emerged as transformative forces in their respective domains. This paper explores synergies and challenges between these two technologies. Our research analyses the biggest…

Artificial Intelligence · Computer Science 2024-08-13 Leon Witt , Armando Teles Fortes , Kentaroh Toyoda , Wojciech Samek , Dan Li
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