Tools for Design, Implementation and Verification of Emerging Information Technologies: 18th EAI International Conference, TRIDENTCOM 2023, Nanjing, China, November 11-13, 2023, Proceedings: Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, cartea 523
Editat de Jianghua Liu, Lei Xu, Xinyi Huangen Limba Engleză Paperback – 5 ian 2024
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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Specificații
ISBN-13: 9783031513985
ISBN-10: 3031513983
Ilustrații: XII, 173 p. 48 illus., 42 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.27 kg
Ediția:1st ed. 2024
Editura: Springer Nature Switzerland
Colecția Springer
Seria Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
Locul publicării:Cham, Switzerland
ISBN-10: 3031513983
Ilustrații: XII, 173 p. 48 illus., 42 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.27 kg
Ediția:1st ed. 2024
Editura: Springer Nature Switzerland
Colecția Springer
Seria Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
Locul publicării:Cham, Switzerland
Cuprins
Blockchain and its applications.- A Novel Cross-Chain Relay Method Based on Node Trust Evaluation.- Collateral-Efficient 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.