Del 523 i serien Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

Tools for Design, Implementation and Verification of Emerging Information Technologies

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

Häftad, Engelska, 2024

AvJianghua Liu,Lei Xu,Xinyi Huang

899 kr

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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.

Produktinformation

Utgivningsdatum2024-01-05
Mått155 x 235 x 11 mm
Vikt295 g
FormatHäftad
SpråkEngelska
SerieLecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
Antal sidor173
Upplaga24001
FörlagSpringer International Publishing AG
ISBN9783031513985

Tillhör följande kategorier

Systemvetenskap och AI inom Data och it
Hårdvara inom Data och it

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.

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Del 523 i serien Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

Tools for Design, Implementation and Verification of Emerging Information Technologies

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

Häftad, Engelska, 2024

AvJianghua Liu,Lei Xu,Xinyi Huang

899 kr

Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt för medlemmar vid köp för minst 249 kr.

Finns i fler format (2)

Häftad

749 kr

Skickas inom 10-15 vardagar

Häftad

889 kr

Skickas inom 10-15 vardagar

Produktinformation

Utgivningsdatum2024-01-05
Mått155 x 235 x 11 mm
Vikt295 g
FormatHäftad
SpråkEngelska
SerieLecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
Antal sidor173
Upplaga24001
FörlagSpringer International Publishing AG
ISBN9783031513985

Tillhör följande kategorier

Systemvetenskap och AI inom Data och it
Hårdvara inom Data och it

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.