Tools for Design, Implementation and Verification of Emerging Information Technologies (inbunden)
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Format
Häftad (Paperback / softback)
Språk
Engelska
Antal sidor
173
Utgivningsdatum
2024-01-05
Upplaga
1st ed. 2024
Förlag
Springer International Publishing AG
Medarbetare
Liu, Jianghua (ed.), Huang, Xinyi (ed.), Xu, Lei (ed.)
Illustrationer
42 Illustrations, color; 6 Illustrations, black and white; XII, 173 p. 48 illus., 42 illus. in color
Dimensioner
234 x 156 x 10 mm
Vikt
272 g
Antal komponenter
1
Komponenter
1 Paperback / softback
ISBN
9783031513985

Tools for Design, Implementation and Verification of Emerging Information Technologies

18th EAI International Conference, TRIDENTCOM 2023, Nanjing, China, November 11-13, 2023, Proceedings

av Jianghua Liu, Lei Xu, Xinyi Huang
Häftad,  Engelska, 2024-01-05
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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.
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Fler böcker av författarna

Jianghua Liu, Lei Xu, Xinyi Huang

Innehållsförteckning

Blockchain and its applications.- A Novel Cross-Chain Relay Method Based on Node Trust Evaluation.- Collateral-Eicient 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.

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