Showing 21 - 40 results of 188 for search 'Federal architecture', query time: 0.06s Refine Results
  1. 21

    EdgeGuard: Decentralized Medical Resource Orchestration via Blockchain-Secured Federated Learning in IoMT Networks by Sakshi Patni, Joohyung Lee

    Published 2024-12-01
    “…In this study, we present EdgeGuard, a novel decentralized architecture that combines blockchain technology, federated learning, and edge computing to address those challenges and coordinate medical resources across IoMT networks. …”
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    Article
  2. 22

    <i>VFL-Cafe</i>: Communication-Efficient Vertical Federated Learning via Dynamic Caching and Feature Selection by Jiahui Zhou, Han Liang, Tian Wu, Xiaoxi Zhang, Yu Jiang, Chee Wei Tan

    Published 2025-01-01
    “…Vertical Federated Learning (VFL) is a promising category of Federated Learning that enables collaborative model training among distributed parties with data privacy protection. …”
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  3. 23

    A Federated Learning Framework for Enhanced Data Security and Cyber Intrusion Detection in Distributed Network of Underwater Drones by Mansahaj Singh Popli, Rudra Pratap Singh, Navneet Kaur Popli, Mohammad Mamun

    Published 2025-01-01
    “…To address these challenges, this study proposes a Federated Learning (FL) framework specifically tailored for underwater networks. …”
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    A Collaborative Privacy Preserved Federated Learning Framework for Pneumonia Detection using Diverse Chest X-ray Data Silos by Shagun Sharma, Kalpna Guleria

    Published 2025-04-01
    “…To address these challenges, a decentralized, federated learning framework has been proposed for early pneumonia detection in chest X-ray images with a 5-client architecture. …”
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    FEDECOM: Enabling cross-border energy exchange by federating energy communities [version 2; peer review: 1 approved, 2 approved with reservations] by Zia Lennard

    Published 2025-02-01
    “…The FEDECOM project (Federated-system approach for flexible and interoperable energy communities) is a European Union-funded project aimed at fostering the integration and flexibility of local energy systems by demonstrating the potential of cross-border energy exchange by energy sector coupling through a federation of energy communities. …”
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    BIG DATA: HOW CAN INFORMATION TECHNOLOGIES HELP THE STATISTICS SERVICE TO INCREASE EFFICIENCY OF CALCULATION OF THE CONSUMER PRICE INDEX by A. Mikhajlova

    Published 2018-04-01
    “…The business and information technology (IT) architecture of the ROSSTAT were developed with the help of the step-by-step instruction for the development of architecture TOGAF (The Open Group Architecture Framework).…”
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  14. 34

    Advancements in training and deployment strategies for AI-based intrusion detection systems in IoT: a systematic literature review by S. Kumar Reddy Mallidi, Rajeswara Rao Ramisetty

    Published 2025-01-01
    “…It then examines various IDS architectures and delves into the integration of machine learning (ML) and deep learning (DL) technologies that improve detection capabilities and system responsiveness. …”
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  15. 35

    Hybrider l’urbain et l’agricole : du lexique au projet de paysage by Axelle Thierry

    Published 2022-09-01
    “…From this perspective, the strengthening of approaches in landscape architecture opens up new prospects for federating actors, developing joint projects and thus promoting complementarity between urban and agricultural spaces.…”
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    Supply of hospitals’ navigation system accessibility for various population groups from the perspective of lean production by A. A. Kurmangulov, S. D. Mazunina, Yu. S. Reshetnikova, N. S. Brynza

    Published 2021-03-01
    “…The accumulated experience in implementing projects with the implementation of the concept of lean production in outpatient medical institutions of the Russian Federation suggests that a rationally designed and deployed navigation system can be an effective tool for visualization in a lean production methodology. …”
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    Advancing UAV Communications: A Comprehensive Survey of Cutting-Edge Machine Learning Techniques by Chenrui Sun, Gianluca Fontanesi, Berk Canberk, Amirhossein Mohajerzadeh, Symeon Chatzinotas, David Grace, Hamed Ahmadi

    Published 2024-01-01
    “…We therefore conduct a comprehensive review of advanced ML strategies, ranging from federated learning, transfer and meta-learning to explainable AI, to address those challenges. …”
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    Article
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