Machine LearningEfficient Data Analysis with TSRGAA new algorithm streamlines communication in feature-distributed data analysis.
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An overview of labeled graphs and their verification properties.
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A new approach streamlines transaction processing in decentralized systems.
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A new marketplace that democratizes AI model training and data sharing.
― 6 min read
Explore strategies to enhance information sharing in large networks.
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A method to efficiently recycle consensus objects in distributed systems facing Byzantine failures.
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A look into efficient sparse matrix-vector product implementations for scientific applications.
― 6 min read
Introducing the BubbleML Dataset for advanced studies in boiling dynamics.
― 6 min read
Strategies to enhance efficiency in distributed computing.
― 5 min read
Two robots and a bike work together to find an unknown exit efficiently.
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A new approach to improve the resilience of distributed systems against various threats.
― 7 min read
Exploring how logical synchrony enhances communication in distributed systems.
― 6 min read
AQUILA enhances federated learning by optimizing device selection and data communication.
― 5 min read
A new framework enhances the efficiency of deep learning task management across diverse hardware.
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A powerful supercomputer cluster launched in Europe for advanced research.
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Learn how to optimize cloud costs with simple strategies and effective resource management.
― 6 min read
Programmable matter allows materials to change shape and properties, offering diverse applications.
― 5 min read
Learn how PROV-IO improves data tracking in scientific research.
― 7 min read
New scheduler enhances efficiency by considering job communication patterns.
― 6 min read
A new method improves privacy and model training in federated learning.
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SemCloud offers efficient management of diverse data sources in the cloud.
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A system to balance workloads among actors for better data processing.
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A new method improves accuracy in predicting cloud system failures.
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PDS-Net enhances QoS predictions by effectively managing noisy data.
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Examining the potential and challenges of Federated Machine Learning in preserving privacy.
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ScalOTA improves OTA updates for vehicles using update stations for faster and secure downloads.
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A new method enhances federated learning security against data poisoning attacks.
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Federated learning enhances privacy while improving model training on mobile devices.
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This article details a powerful parallel method for solving positive linear programs in graphs.
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New hardware system enhances GNN inference speed and efficiency for real-time applications.
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An overview of privacy concerns in information sharing through gossip protocols.
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Web 4.0 aims for smarter, integrated online experiences through advanced technology.
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Addressing resource challenges for GPT models in cloud environments.
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LibPreemptible improves scheduling in cloud applications, reducing delays and enhancing performance.
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A new architecture aims to improve resource management across cloud and edge devices.
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TeraHAC efficiently clusters large graphs, enhancing data analysis for various fields.
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Learn how blockchain can verify product authenticity and combat counterfeits.
― 5 min read
A look into the role and importance of transactional systems in data management.
― 6 min read
Federated Learning enables data privacy while improving machine learning collaboration among diverse participants.
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A new approach to vehicle security addressing rising cyber threats.
― 6 min read