يعرض 1 - 10 نتائج من 87 نتيجة بحث عن '"federated learning"', وقت الاستعلام: 0.94s تنقيح النتائج
  1. 1
    دورية
    Federated Learning: Securing AI Models Using Decentralised Data.

    المؤلفون: Kumar, Gaurav

    المصدر: Open Source For You; Jun2024, Vol. 12 Issue 8, p45-49, 5p

    مصطلحات موضوعية: FEDERATED learning, DEEP learning, MACHINE learning, ARTIFICIAL intelligence, DATA privacy, MAJORITIES

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  2. 2
    دورية
    Enhancing Edge Computing with Federated Learning and AI.

    المؤلفون: Kasthuri, Magesh, Nayyar, Anand

    المصدر: Open Source For You; Mar2024, Vol. 12 Issue 5, p59-63, 5p

    مصطلحات موضوعية: BANDWIDTH allocation, FEDERATED learning, EDGE computing, ARTIFICIAL intelligence, MACHINE learning, SWARM intelligence

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  3. 3
    دورية
    Thoughts on AI Interoperability.

    المؤلفون: Cerf, Vinton G.

    المصدر: Communications of the ACM; Apr2024, Vol. 67 Issue 4, p5-5, 1p

    مصطلحات موضوعية: MACHINE learning, APPLICATION program interfaces, LANGUAGE models, FEDERATED learning, SEMANTICS, SYNTAX (Grammar), STANDARDS

    View Record from ACM Digital Library
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  4. 4
    دورية
    Researchers Submit Patent Application, "Reconfigurable, Hyperdimensional Neural Network Architecture", for Approval (USPTO 20240185591).

    المصدر: Blood Weekly; 6/27/2024, p840-840, 1p

    مصطلحات موضوعية: PATENT applications, APPLICATION-specific integrated circuits, RESEARCH personnel, FIELD programmable gate arrays, FEDERATED learning

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  5. 5
    دورية
    Researchers from Chosun University Discuss Findings in Machine Learning (A Comprehensive Survey On Federated Learning In the Healthcare Area: Concept and Applications).

    المصدر: Health & Medicine Week; 6/28/2024, p5563-5563, 1p

    مصطلحات موضوعية: FEDERATED learning, MACHINE learning, RESEARCH personnel, CONCEPT learning, TECHNOLOGICAL innovations, COMPUTER engineering

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  6. 6
    دورية
    New Non-Small Cell Lung Cancer Data Have Been Reported by Researchers at Shandong First Medical University and Shandong Academy of Medical Sciences (Predicting treatment response in multicenter non-small cell lung cancer patients based on...).

    المصدر: Cancer Weekly; 6/25/2024, p744-744, 1p

    مصطلحات موضوعية: NON-small-cell lung carcinoma, MEDICAL sciences, CANCER patients, RESEARCH personnel, FEDERATED learning

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  7. 7
    دورية
    Recent Research from University of Murcia Highlight Findings in Information Technology (Analyzing the Robustness of Decentralized Horizontal and Vertical Federated Learning Architectures In a Non-iid Scenario).

    المصدر: Health & Medicine Week; 6/21/2024, p4558-4558, 1p

    مصطلحات موضوعية: INFORMATION technology, FEDERATED learning, MACHINE learning, DATA privacy, UNIVERSITY research

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  8. 8
    دورية
    In-Silo Federated Learning vs. Centralized Learning for Segmenting Acute and Chronic Ischemic Brain Lesions.

    المصدر: Health & Medicine Week; 6/14/2024, p2048-2048, 1p

    مصطلحات موضوعية: BRAIN damage, FEDERATED learning, DIFFUSION magnetic resonance imaging, IMAGE segmentation

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  9. 9
    دورية
    Researchers from University of Cambridge Detail Findings in Information Technology (Data-agnostic Model Poisoning Against Federated Learning: a Graph Autoencoder Approach).

    المصدر: Health & Medicine Week; 6/14/2024, p6150-6150, 1p

    مصطلحات موضوعية: INFORMATION technology, FEDERATED learning, RESEARCH personnel, POISONING, COMPUTER systems

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  10. 10
    دورية
    Findings from Auburn University Update Knowledge of Information Security (Defending Against Model Poisoning Attack In Federated Learning: a Variance-minimization Approach).

    المصدر: Health & Medicine Week; 6/14/2024, p1438-1438, 1p

    مصطلحات موضوعية: INFORMATION technology security, FEDERATED learning, POISONING, ARTIFICIAL neural networks, INFORMATION technology

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