Arama Sonuçları - "Federated learning"

Privacy-Preserving Federated Model Predicting Bipolar Transition in Patients With Depression: Prediction Model Development Study Yazar: Dong Yun Lee, Byungjin Choi, Chungsoo Kim, Egill Fridgeirsson, Jenna Reps, Myoungsuk Kim, Jihyeong Kim, Jae-Won Jang, Sang Youl Rhee, Won-Woo Seo, Seunghoon Lee, Sang Joon Son, Rae Woong Park

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Data Spaces Design, Deployment and Future Directions /

İçindekiler: “…Data Spaces: Design, Deployment, and Future Directions -- Part I: Design -- An Organizational Maturity Model for Data Spaces: A Data Sharing Wheel Approach -- Data Platforms for Data Spaces -- Technological Perspective of Data Governance in Data Space Ecosystems -- Increasing Trust for Data Spaces with Federated Learning -- KRAKEN: A Secure, Trusted, Regulatory-Compliant, and Privacy-Preserving Data Sharing Platform -- Connecting Data Spaces and Data Marketplaces and the Progress Toward the European Single Digital Market with Open-Source Software -- AI-Based Hybrid Data Platforms -- Part II: Deployment -- A Digital Twin Platform for Industrie 4.0 -- A Framework for Big Data Sovereignty: The European Industrial Data Space (EIDS) -- Deploying a Scalable Big Data Platform to Enable a Food Safety Data Space -- Data Space Best Practices for Data Interoperability in FinTechs -- TIKD: A Trusted Integrated Knowledge Dataspace for Sensitive Data Sharing and Collaboration -- Toward an Energy Data Platform Design: Challenges and Perspectives from the SYNERGY Big Data Platform and AI Analytics Marketplace -- Part III: Future Directions -- Privacy-Preserving Techniques for Trustworthy Data Sharing: Opportunities and Challenges for Future Research -- Common European Data Spaces: Challenges and Opportunities.…”
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Mobile Edge Computing Yazar: Zhang, Yan

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Mobile Edge Computing Yazar: Zhang, Yan

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Mobile Edge Computing Yazar: Zhang, Yan

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Data Spaces Design, Deployment and Future Directions

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Digital Twin Architectures, Networks, and Applications / Yazar: Zhang, Yan

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Opportunities, challenges and future perspectives of using bioinformatics and artificial intelligence techniques on tropical disease identification using omics data Yazar: S. M. Vidanagamachchi, K. M. G. T. R. Waidyarathna

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Data Spaces Design, Deployment and Future Directions

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Federated Machine Learning, Privacy-Enhancing Technologies, and Data Protection Laws in Medical Research: Scoping Review Yazar: Alissa Brauneck, Louisa Schmalhorst, Mohammad Mahdi Kazemi Majdabadi, Mohammad Bakhtiari, Uwe Völker, Jan Baumbach, Linda Baumbach, Gabriele Buchholtz

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Emerging Artificial Intelligence-Empowered mHealth: Scoping Review Yazar: Paras Bhatt, Jia Liu, Yanmin Gong, Jing Wang, Yuanxiong Guo

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Economics and Equity of Large Language Models: Health Care Perspective Yazar: Radha Nagarajan, Midori Kondo, Franz Salas, Emre Sezgin, Yuan Yao, Vanessa Klotzman, Sandip A Godambe, Naqi Khan, Alfonso Limon, Graham Stephenson, Sharief Taraman, Nephi Walton, Louis Ehwerhemuepha, Jay Pandit, Deepti Pandita, Michael Weiss, Charles Golden, Adam Gold, John Henderson, Angela Shippy, Leo Anthony Celi, William R Hogan, Eric K Oermann, Terence Sanger, Steven Martel

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Comprehensive Symptom Prediction in Inpatients With Acute Psychiatric Disorders Using Wearable-Based Deep Learning Models: Development and Validation Study Yazar: Minseok Hong, Ri-Ra Kang, Jeong Hun Yang, Sang Jin Rhee, Hyunju Lee, Yong-gyom Kim, KangYoon Lee, HongGi Kim, Yu Sang Lee, Tak Youn, Se Hyun Kim, Yong Min Ahn

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