Tools for Design, Implementation and Verification of Emerging Information Technologies
18th EAI International Conference, TRIDENTCOM 2023, Nanjing, China, November 11-13, 2023, Proceedings
(Sprache: Englisch)
This book constitutes the refereed post-conference proceedings of the 18th EAI International Conference on Tools for Design, Implementation and Verification of Emerging Information Technologies, TridentCom 2023, which was held in Nanjing, China, during...
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Klappentext zu „Tools for Design, Implementation and Verification of Emerging Information Technologies “
This book constitutes the refereed post-conference proceedings of the 18th EAI International Conference on Tools for Design, Implementation and Verification of Emerging Information Technologies, TridentCom 2023, which was held in Nanjing, China, during November 11-13, 2023.The 9 full papers were selected from 30 submissions and deal the emerging technologies of big data, cyber-physical systems and computer communications. The papers are grouped in thematical sessions on blockchain and its applications; emerging applications; AI and its security.
Inhaltsverzeichnis zu „Tools for Design, Implementation and Verification of Emerging Information Technologies “
Blockchain and its applications.- A Novel Cross-Chain Relay Method Based on Node Trust Evaluation.- Collateral-E icient Instant Contingent Payments: The Promise of A Hardware-Driven Off-Chain Payment System.- Emerging Applications.- A Survey on Edge Intelligence for Music Composition: Principles, Applications, and Privacy Implications.- AI-Driven Sentiment Analysis for Music Composition.- Fault Diagnosis Method for Hydro-Power Plant with Bi-LSTM Knowledge Graph aided by Attention Scheme.- AI and its Security.- Zero-Knowledge with Robust Learning: Mitigating Backdoor Attacks in Federated Learning for Enhanced.- Security and Privacy.- PPAPAFL: A Novel Approach to Privacy Protection and Anti-Poisoning Attacks in Federated Learning.- Towards Retentive Proactive Defense Against DeepFakes.- A Fast and Accurate Non-Interactive Privacy-Preserving Neural Network Inference Framework.
Bibliographische Angaben
- 2024, 1st ed. 2024, XII, 173 Seiten, 42 farbige Abbildungen, Maße: 15,5 x 23,5 cm, Kartoniert (TB), Englisch
- Herausgegeben: Jianghua Liu, Lei Xu, Xinyi Huang
- Verlag: Springer, Berlin
- ISBN-10: 3031513983
- ISBN-13: 9783031513985
Sprache:
Englisch
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