Edge computing -- EDGE 2023 : 7th International Conference, held as part of the Services Conference Federation, SCF 2023 Shenzhen, China, December 17-18, 2023, Proceedings / edited by Jun Feng, Frank Jiang, Min Luo, Liang-Jie Zhang.
Material type:
TextSeries: Lecture notes in computer science ; 14205.Publisher: Cham : Springer, 2024Description: 1 online resource (xiii, 93 pages) : illustrations (some color)Content type: - text
- computer
- online resource
- 9783031518263
- 3031518268
- EDGE 2023
- 004.6 23/eng/20240124
- QA76.583
| Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|---|
eBook
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e-Library | eBook LNCS | Available |
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.
Includes author index.
Online resource; title from PDF title page (SpringerLink, viewed January 24, 2024).