Algorithms and Architectures for Parallel Processing : 23rd International Conference, ICA3PP 2023, Tianjin, China, October 20-22, 2023, Proceedings, Part IV

• Autore: Tari Zahir
• Pubblicazione: Singapore : , : Springer, , 2024; ©2024
• Edizione: 1st ed.
• Descrizione fisica: 1 online resource (508 pages)
• Altri autori: LiKeqiu WuHongyi
• Nota di contenuto: Intro -- Preface -- Organization -- Contents - Part IV -- CSDSE: Apply Cooperative Search to Solve the Exploration-Exploitation Dilemma of Design Space Exploration -- 1 Introduction -- 2 Background and Motivation -- 2.1 Design Space of Deep Neural Network Accelerator -- 2.2 Design Space Exploration Methods -- 2.3 Challenge of Exploration-Exploitation Dilemma -- 3 CSDSE Method -- 3.1 Profile of CSDSE -- 3.2 Definition of RL Framework -- 3.3 Cooperative Search and Heterogeneous Agents -- 3.4 Weighted Compact Buffer -- 4 Experiments and Analyses -- 4.1 Experiment Setup -- 4.2 Experiment Result and Analysis -- 5 Related Works -- 6 Conclusion -- References -- Differential Privacy in Federated Dynamic Gradient Clipping Based on Gradient Norm -- 1 Introduction -- 2 Related Work -- 3 Preliminary -- 3.1 Threat Model -- 3.2 Gradient Cropping -- 4 Differential Privacy in Federated Dynamic Gradient Clipping Based on Gradient Norm -- 4.1 Overall Framework -- 4.2 Relationship Between Gradient Variation and Clipped Threshold -- 4.3 Gradient Attenuation Clipped Threshold Based on Gradient Norm -- 4.4 Convergence Analysis -- 4.5 Algorithm -- 5 Performance Evaluation -- 5.1 Experimental Setup -- 5.2 Performance of Privacy Protection -- 5.3 Global Model Availability -- 5.4 Universality of Clipped Thresholds -- 6 Conclusions -- References -- SolGPT: A GPT-Based Static Vulnerability Detection Model for Enhancing Smart Contract Security -- 1 Introduction -- 2 Problem Formulation -- 3 Related Work -- 3.1 Deep Learning-Based Approaches for Smart Contract Vulnerability Detection -- 3.2 GPT Models -- 4 SolGPT: Solidity Adapative GPT -- 4.1 SolTokenizer -- 4.2 Solidity Adaptive Pre-training -- 4.3 Vulnerability Detection Fine-Tunning -- 5 Experiment and Analysis -- 5.1 Comparisons with Traditional Approaches -- 5.2 Comparisons with Deep Learning Approaches. ; 5.3 Ablation Studies -- 6 Conclusion -- References -- Neuron Pruning-Based Federated Learning for Communication-Efficient Distributed Training -- 1 Introduction -- 2 Related Work -- 2.1 FL with Edge Computing -- 2.2 Communication Overhead Reduction in FL -- 3 Algorithm Description -- 3.1 Basic Model Selection -- 3.2 Model Pruning -- 4 Simulation Results and Analysis -- 4.1 Experimental Setting -- 4.2 Performance Analysis -- 4.3 Network Traffic Classification -- 5 Conclusion and Future Work -- References -- A Novel Network Topology Sensing Method for Network Security Situation Awareness -- 1 Introduction -- 2 Preliminaries and Related Works -- 2.1 Network Security Situation Awareness (NSSA) -- 2.2 Group Decision Making (GDM) -- 3 Network Topology Sensing Method for NSSA -- 3.1 Overview -- 3.2 Agent Model -- 3.3 Group Decision Making Based on Trusted Agents -- 4 Experimental Studies and Analysis -- 4.1 Prerequisites and Problem Descriptions -- 4.2 Experimental Process and Numerical Example -- 4.3 Comparisons and Discussions -- 5 Conclusions -- References -- Distributed Task Offloading Method Based on Federated Reinforcement Learning in Vehicular Networks with Incomplete Information -- 1 Introduction -- 2 Related Work -- 3 System Model -- 3.1 Local Computing -- 3.2 Edge Computing -- 4 Problem Formulation -- 5 Algorithm Design -- 5.1 Deep Q-Network -- 5.2 State Space -- 5.3 Action Space -- 5.4 Reward Function -- 5.5 Communication Mask -- 5.6 FDQN Algorithm -- 6 Performance Evaluation -- 6.1 Simulation Setup -- 6.2 Evaluation Results -- 7 Conclusion -- References -- Carbon Trading Based on Consortium Chain: Building, Modeling, and Analysis -- 1 Introduction -- 2 DC-Chain for Carbon Trading -- 2.1 Role Assignment -- 2.2 DC-Chain Construction and Smart Contract Design -- 3 Modeling Blockchain Performance -- 4 Analytical and Experimental Results. ; 4.1 Transaction Confirmation Time -- 4.2 Block Size -- 5 Conclusion -- References -- CAST: An Intricate-Scene Aware Adaptive Bitrate Approach for Video Streaming via Parallel Training -- 1 Introduction -- 2 Background and Motivation -- 2.1 ABR Algorithms -- 2.2 Scene Complexity -- 3 Design -- 3.1 CAST Overview -- 3.2 Neural Network Structure -- 3.3 Implementation -- 4 Evaluation -- 4.1 Methodology -- 4.2 Comparison with Existing ABR Algorithms -- 4.3 CAST vs. Existing ABR Approaches -- 4.4 Performance Under Different Network Environments -- 4.5 Performance Under Different Player Settings -- 4.6 Subjective Tests from Real Users -- 5 Conclusions -- References -- A Hybrid Active and Passive Cache Method Based on Deep Learning in Edge Computing -- 1 Introduction -- 2 Related Work -- 3 System Model -- 4 Proposed Methodology -- 4.1 Feature Extraction from Four Modalities -- 4.2 Multimodal Prediction Model -- 5 Experiment Setup -- 5.1 Dataset Setup -- 5.2 Evaluating Indicator -- 5.3 Baselines -- 6 Cached Updates -- 7 Evaluation Results -- 7.1 Simulation Setup -- 7.2 Evaluation Results -- 8 Conclusion -- References -- We Will Find You: An Edge-Based Multi-UAV Multi-Recipient Identification Method in Smart Delivery Services -- 1 Introduction -- 2 Related Work -- 3 Framework and Algorithms -- 3.1 Framework -- 3.2 Algorithms -- 4 Evaluation -- 4.1 Case Study -- 4.2 Experiments -- 5 Conclusions and Future Work -- References -- Multi-objective Optimization for Joint Handover Decision and Computation Offloading in Integrated Communications and Computing 6G Networks -- 1 Introduction -- 2 Related Work -- 3 System Model and Problem Formulations -- 3.1 System Model -- 3.2 Communication Model -- 3.3 Computation Model -- 3.4 Problem Formulation -- 4 Joint Handover Decision and Computation Offloading Method Based on MOO -- 4.1 The Flowchart of Mobility Management in CCN. ; 4.2 Trigger Mechanisms of Handover and Offloading -- 4.3 Joint Decision Method Based on MOO -- 4.4 The Convergence Analysis of JD-MOO Method -- 5 Performance Evaluation -- 5.1 Experiments Setting -- 5.2 Performance of Handover Decision -- 5.3 Performance of Computation Offloading -- 5.4 Analysis of Services Satisfaction Degree -- 5.5 Analysis of Running Time and Convergence -- 6 Conclusion -- References -- A Joint Optimization Scheme in Heterogeneous UAV-Assisted MEC -- 1 Introduction -- 2 Related Work -- 2.1 MEC -- 2.2 UAV Scheduling -- 2.3 Task Allocation -- 3 System Model -- 3.1 Problem Statement -- 3.2 System Overview -- 3.3 UAV Scheduling Model -- 3.4 Task Execution Model -- 3.5 UAV Hovering Model -- 3.6 Problem Formulation -- 4 Proposed Approach -- 4.1 UAV Scheduling Algorithm -- 4.2 Task Allocation Algorithm -- 5 Performance Evaluation -- 5.1 Experimental Settings -- 5.2 Experimental Results -- 6 Conclusion -- References -- Multi-UAV Collaborative Face Recognition for Goods Receiver in Edge-Based Smart Delivery Services -- 1 Introduction -- 2 Framework Design and Workflow -- 2.1 Framework Overview -- 2.2 Framework Execution Process -- 3 Related Technologies and Algorithms -- 3.1 Face Detection -- 3.2 Face Fusion -- 3.3 Face Recognition -- 4 Experiments and Evaluation -- 4.1 Case Studies -- 4.2 Evaluation -- 5 Conclusions -- References -- Distributed Generative Adversarial Networks for Fuzzy Portfolio Optimization -- 1 Introduction -- 2 Generative Adversarial Networks Architecture -- 2.1 Theoretical Background -- 2.2 Architecture -- 2.3 Generator -- 2.4 Discriminator -- 2.5 Adversarial Training -- 3 Generative Adversarial Networks Architecture -- 4 Experimental Results -- 4.1 Experimental Setting -- 4.2 Experimental Results -- 4.3 Experimental Evaluation -- 5 Parallel Fuzzy Portfolio Optimization -- 5.1 Fuzzy Mean-CVaR Portfolio Model. ; 5.2 Optimization Algorithms -- 5.3 Parallelization and Results -- 6 Conclusion -- References -- A Novel Transaction Processing Model for Sharded Blockchain -- 1 Introduction -- 2 Related Work -- 2.1 Blockchain Sharding Protocols -- 2.2 Transaction Processing -- 3 Proposed Model -- 3.1 Overview of Model -- 3.2 Threat Model -- 4 Transaction Admission Control Algorithm -- 4.1 Problem Formulation -- 4.2 Algorithm Design -- 5 Transaction Verification Design -- 5.1 Verification Based on TSS -- 5.2 Verification Peers Selection -- 5.3 Transaction Dependency Handling -- 6 Experiment and Evaluation -- 6.1 Implementation -- 6.2 Performance Evaluation -- 7 Conclusion -- References -- Computation Offloading Based on Deep Reinforcement Learning for UAV-MEC Network -- 1 Introduction -- 2 System Model and Problem Description -- 2.1 System Model -- 2.2 Communication Model -- 2.3 Task Calculation Model -- 2.4 Problem Formulation -- 3 Proposed Scheme -- 3.1 SDQN Algorithm -- 3.2 Reinforcement Learning Modeling -- 3.3 Training and Testing -- 4 Simulation Results -- 4.1 Simulation Setting -- 4.2 Simulation Results and Discussions -- 5 Conclusion -- References -- Privacy-Aware Scheduling Heuristic Based on Priority in Edge Environment -- 1 Introduction -- 2 Related Work -- 3 Problem Modeling -- 3.1 Application Model -- 3.2 Resource and Processing Time Model -- 4 Method -- 4.1 Task Selection Phase -- 4.2 Processor Selection Phase -- 5 Evaluation -- 5.1 Settings -- 5.2 The Performance Comparison Experiment for Privacy Application -- 5.3 The Performance Comparison Experiment for General Application -- 6 Conclusion -- References -- A Novel Multi-objective Evolutionary Algorithm Hybrid Simulated Annealing Concept for Recommendation Systems -- 1 Introduction -- 2 Related Work -- 3 Problem Definition -- 3.1 Multi-objective Evolutionary Algorithm -- 4 The Proposed Model. ; 4.1 Objective Functions.
• Titolo autorizzato: Algorithms and Architectures for Parallel Processing
• ISBN: 981-9708-59-1
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 996587859603316
• Lo trovi qui: Univ. di Salerno
• Serie: Lecture Notes in Computer Science Series