Distributed, Parallel, and Cluster ComputingUnderstanding Weak Memory Models in Computer ScienceAn overview of weak memory models and their impact on concurrent systems.
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Arma offers a scalable solution for reliable transaction processing in distributed networks.
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A comprehensive framework for analyzing XR performance in edge-assisted wireless networks.
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LiveData offers solutions for effective and diverse data sharing across borders.
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Introducing DEMon, a decentralized monitoring system for efficient edge computing.
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A formal approach to reduce teleportations in quantum computing networks.
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A new MPM implementation improves gas flow simulations significantly.
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Research tackles the black hole search problem in changing networks.
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Discover new techniques to improve efficiency in deep neural network training.
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Fast-FedUL provides quick data removal methods for federated learning while ensuring privacy.
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This paper presents L-HiTS, a method for simulating complex systems using deep learning.
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Learn how to create SWMR registers that withstand Byzantine process challenges.
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Efficient execution of transformer models on an open-source RISC-V platform.
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A new approach to scheduling jobs in data processing clusters using decision trees.
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FedGELA tackles challenges in federated learning with partially class-disjoint data.
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FedLESAM tackles data challenges in federated learning for better model performance.
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FedMR tackles challenges in federated learning with partial class data, enhancing model performance.
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Kosmosis combines blockchain data and social media to prevent crypto scams.
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PadFL improves model sharing and efficiency across varying device capabilities.
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DAG-based BFT protocols improve scalability and efficiency in transaction processing.
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A new approach enhances security and performance in federated learning with blockchain.
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Discover how cycloids help model synchronization in processes across various fields.
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FunLess offers efficient serverless function execution in private edge cloud systems.
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Introducing Federated Dynamic Averaging for improved communication in distributed deep learning.
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GROMACS integrates SYCL for improved performance on AMD GPUs in molecular dynamics simulations.
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A method for collaborative machine learning while keeping data private.
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Explore various big data storage solutions and their unique features.
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SpaFL enhances communication and computation in Federated Learning while securing personal data.
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A strategy to improve server allocation for better job execution and reduced delays.
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A new method tackles wireless errors in federated learning for IoT devices.
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An analysis of the hardware requirements for efficiently running large language models.
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A new system improves serving large language models across various GPU configurations.
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A new multi-server approach improves federated learning efficiency and speed.
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New approach improves machine learning privacy and resilience against attacks.
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A study on Dask and Spark for analyzing neuroimaging data.
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A framework to enhance reproducibility in computational workflows for science.
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A look at how Rust facilitates distributed shared memory management.
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New methods improve quantum circuit cutting efficiency for distributed systems.
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ReSaQuS improves quantum search efficiency using innovative resource management techniques.
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This article addresses how to simulate client data for faster federated learning.
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