Edge computing - EDGE 2023 7th international conference ; held as part of the services conference federation, SCF 2023 Shenzhen, China, December 17-18, 2023 : proceedings

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 Artific...

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Bibliographische Detailangaben
Körperschaft: EDGE (VerfasserIn)
Weitere Verfasser: Feng, Jun (HerausgeberIn), Jiang, Frank (HerausgeberIn), Luo, Min (HerausgeberIn), Zhang, Liang-Jie (HerausgeberIn)
Format: UnknownFormat
Sprache:eng
Veröffentlicht: Cham Springer 2024
Schriftenreihe:Lecture notes in computer science 14205
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Zusammenfassung: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.
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
Beschreibung:Literaturangaben
Beschreibung:xii, 91 Seiten
Illustrationen, Diagramme
ISBN:9783031518256
978-3-031-51825-6