Advances in Distributed Computing and Machine Learning : Proceedings of ICADCML 2025, Volume 2

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  • 電子書籍

Advances in Distributed Computing and Machine Learning : Proceedings of ICADCML 2025, Volume 2

  • 言語:ENG
  • ISBN:9789819667178
  • eISBN:9789819667185

ファイル: /

Description

This book is a collection of peer-reviewed best selected research papers presented at the Sixth International Conference on Advances in Distributed Computing and Machine Learning (ICADCML 2025), organized by Dept. of Computer Science and Information Engineering, National Taiwan University of Science and Technology, Taiwan during January 9–10, 2025. This book presents recent innovations in the field of scalable distributed systems in addition to cutting-edge research in the field of Internet of Things (IoT) and blockchain in distributed environments. The work is presented in two volumes.

Table of Contents

QCSchield: A Quantum-Classical Hybrid Framework for Intrusion Detection in Edge-IIoT.- Design Strategy of Entanglement Routing Protocols in Quantum Networks: Overview and Challenges.- Dynamic Fusion Strategy With Multi-Scale Architecture.-A Multi-Source Graph Traversal Algorithm for Social Network Graphs Inspired by The Combing Operation of Armed Forces.- DATA CENTER NETWORKING USING DYNAMIC SCALING ON SPINE-LEAF ARCHITECTURE.-"Modified TLS protocol using BB84 protocol and Bit Masking.- Etc.
 
 

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