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    <title>Edge Computing – EDGE 2023</title>
    <subTitle>7th International Conference, Held as Part of the Services Conference Federation, SCF 2023 Shenzhen, China, December 17-18, 2023, Proceedings</subTitle>
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    <namePart>Feng, Jun.</namePart>
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    <namePart>Zhang, Liang-Jie.</namePart>
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    <dateIssued encoding="marc">2024</dateIssued>
    <edition>1st ed. 2024.</edition>
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    <extent>XIII, 93 p. 31 illus., 24 illus. in color. online resource.</extent>
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  <abstract>This book constitutes the refereed proceedings of the 7th International Conference on Edge Computing, EDGE 2023, held in Shenzhen, China, during December 17–18, 2023. The 8 full papers in this book were carefully reviewed and selected from 14 submissions. They were organized in topical sections as follows: Practice of Edge Computing, identify emerging research topics, and define the future of Edge Computing.</abstract>
  <tableOfContents>Research and Application of Low Voltage Distributed Power Supply Control System -- Optimized Edge-cCCN Based Model for the Detection of DDoS Attack in IoT Environment -- RuCIL: Enabling Privacy-Enhanced Edge Computing for Federated Learning -- Designing Blended Learning Activities in the Era of Artificial Intelligence -- Data Standard Construction -- Construction and Application of Enterprise Data Assets based on Data Label System -- Secure and Fast Query Approach for High-precision Multi-dimensional Satellite Remote Sensing Data -- Data Operation and Management Practices in Ping An Group. .</tableOfContents>
  <note type="statement of responsibility">edited by Jun Feng, Frank Jiang, Min Luo, Liang-Jie Zhang.</note>
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    <topic>Computer networks </topic>
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    <topic>Computer engineering</topic>
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  <identifier type="isbn">9783031518263</identifier>
  <identifier type="uri">https://doi.org/10.1007/978-3-031-51826-3</identifier>
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