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Related papers: Conflict-Aware Replicated Data Types

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CARDS (Corpus of Acyclic Repositories and Dependency Systems) is a collection of directed graphs which express dependency relations, extracted from diverse real-world sources such as package managers, version control systems, and event…

Databases · Computer Science 2025-03-19 Euxane Tran-Girard , Laurent Bulteau , Pierre-Yves David

Shared Memory is a mechanism that allows several processes to communicate with each other by accessing -- writing or reading -- a set of variables that they have in common. A Consistency Model defines how each process observes the state of…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-01-26 Jordi Bataller Mascarell

Inference-time guided sampling steers state-of-the-art diffusion and flow models without fine-tuning by interpreting the generation process as a controllable trajectory. This provides a simple and flexible way to inject external constraints…

Artificial Intelligence · Computer Science 2026-05-21 Xuehui Yu , Fucheng Cai , Meiyi Wang , Xiaopeng Fan , Harold Soh

In database design, Composite Keys are used to uniquely identify records and prevent data duplication. However, they require more memory and storage space than single keys, and can make queries more CPU-intensive. Surrogate Keys are an…

Databases · Computer Science 2023-06-08 Nicola Asuni

In this article we study the properties of distributed systems that mix eventual and strong consistency. We formalize such systems through acute cloud types (ACTs), abstractions similar to conflict-free replicated data types (CRDTs), which…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-01-15 Maciej Kokociński , Tadeusz Kobus , Paweł T. Wojciechowski

Conflict-free replicated data types (CRDTs) are a promising tool for designing scalable, coordination-free distributed systems. However, constructing correct CRDTs is difficult, posing a challenge for even seasoned developers. As a result,…

Programming Languages · Computer Science 2022-09-23 Shadaj Laddad , Conor Power , Mae Milano , Alvin Cheung , Joseph M. Hellerstein

Conflict-free Replicated Data Types (CRDTs) allow collaborative access to an app's data. We describe a novel CRDT operation, for-each on the list of CRDTs, and demonstrate its use in collaborative apps. Our for-each operation applies a…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-04-07 Matthew Weidner , Ria Pradeep , Benito Geordie , Heather Miller

This paper improves the treatment of equality in guarded dependent type theory (GDTT), by combining it with cubical type theory (CTT). GDTT is an extensional type theory with guarded recursive types, which are useful for building models of…

Logic in Computer Science · Computer Science 2016-06-29 Lars Birkedal , Aleš Bizjak , Ranald Clouston , Hans Bugge Grathwohl , Bas Spitters , Andrea Vezzosi

Massive key performance indicators (KPIs) are monitored as multivariate time series data (MTS) to ensure the reliability of the software applications and service system. Accurately detecting the abnormality of MTS is very critical for…

Machine Learning · Computer Science 2023-08-28 Haotian Si , Changhua Pei , Zhihan Li , Yadong Zhao , Jingjing Li , Haiming Zhang , Zulong Diao , Jianhui Li , Gaogang Xie , Dan Pei

A quantum state is called concordant if it has zero quantum discord with respect to any part. By extension, a concordant computation is one such that the state of the computer, at each time step, is concordant. In this paper, I describe a…

Quantum Physics · Physics 2010-06-24 Bryan Eastin

This paper improves the treatment of equality in guarded dependent type theory (GDTT), by combining it with cubical type theory (CTT). GDTT is an extensional type theory with guarded recursive types, which are useful for building models of…

Logic in Computer Science · Computer Science 2017-10-09 Lars Birkedal , Aleš Bizjak , Ranald Clouston , Hans Bugge Grathwohl , Bas Spitters , Andrea Vezzosi

Recent works have demonstrated convolutional neural networks are vulnerable to adversarial examples, i.e., inputs to machine learning models that an attacker has intentionally designed to cause the models to make a mistake. To improve the…

Computer Vision and Pattern Recognition · Computer Science 2020-05-12 Xianxu Hou , Jingxin Liu , Bolei Xu , Xiaolong Wang , Bozhi Liu , Guoping Qiu

We study adversarially robust multitask adaptive linear quadratic control; a setting where multiple systems collaboratively learn control policies under model uncertainty and adversarial corruption. We propose a clustered multitask approach…

Machine Learning · Computer Science 2025-11-10 Kasra Fallah , Leonardo F. Toso , James Anderson

The compensated quotient-difference (Compqd) algorithm is proposed along with some applications. The main motivation is based on the fact that the standard quotient-difference (qd) algorithm can be numerically unstable. The Compqd algorithm…

Numerical Analysis · Mathematics 2017-02-20 Peibing Du , Roberto Barrio , Hao Jiang , Lizhi Cheng

The development of distributed systems requires developers to balance the need for consistency, availability, and partition tolerance. Conflict-free replicated data types (CRDTs) are widely used in eventually consistent systems to reduce…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-06-19 Xin Zhao , Philipp Haller

Causal-consistent reversible debugging allows one to explore concurrent computations back and forth in order to locate the source of an error. In this setting, backward steps can be chosen freely as long as they are "causal consistent",…

Programming Languages · Computer Science 2024-06-11 Juan José González-Abril , Germán Vidal

We present the guarded lambda-calculus, an extension of the simply typed lambda-calculus with guarded recursive and coinductive types. The use of guarded recursive types ensures the productivity of well-typed programs. Guarded recursive…

Logic in Computer Science · Computer Science 2019-03-14 Ranald Clouston , Aleš Bizjak , Hans Bugge Grathwohl , Lars Birkedal

Large language models internalize enormous parametric knowledge during pre-training. Concurrently, realistic applications necessitate external contextual knowledge to aid models on the underlying tasks. This raises a crucial dilemma known…

Artificial Intelligence · Computer Science 2024-07-29 Xiaowei Yuan , Zhao Yang , Yequan Wang , Shengping Liu , Jun Zhao , Kang Liu

State-based Conflict-free Replicated Data Types (CRDTs) are widely used in distributed systems to ensure high availability without coordination. However, their naive synchronization strategy - transmitting the full state - incurs high…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-05-05 Pedro Silva Gomes , Miguel Boaventura Rodrigues , Carlos Baquero

Analog Lagrange Coded Computing (ALCC) is a recently proposed coded computing paradigm wherein certain computations over analog datasets can be efficiently performed using distributed worker nodes through floating point implementation.…

Information Theory · Computer Science 2024-05-14 Rimpi Borah , J. Harshan