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

Title
Algorithms and Architectures for Parallel Processing [electronic resource] : 23rd International Conference, ICA3PP 2023, Tianjin, China, October 20-22, 2023, Proceedings, Part IV / edited by Zahir Tari, Keqiu Li, Hongyi Wu.
ISBN
9789819708598
Edition
1st ed. 2024.
Publication
Singapore : Springer Nature Singapore : Imprint: Springer, 2024.
Physical Description
1 online resource (XXI, 488 p.) 202 illus., 176 illus. in color.
Local Notes
Access is available to the Yale community.
Access and use
Access restricted by licensing agreement.
Summary
The 7-volume set LNCS 14487-14493 constitutes the proceedings of the 23rd International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2023, which took place in Tianjin, China, during October, 2023. The 145 full papers included in this book were carefully reviewed and selected from 439 submissions. ICA3PP covers the many dimensions of parallel algorithms and architectures; encompassing fundamental theoretical approaches; practical experimental projects; and commercial components and systems.
Variant and related titles
Springer ENIN.
Other formats
Printed edition:
Printed edition:
Format
Books / Online
Language
English
Added to Catalog
March 01, 2024
Series
Lecture Notes in Computer Science, 14490
Lecture Notes in Computer Science, 14490
Contents
CSDSE: Apply Cooperative Search to Solve the Exploration-Exploitation Dilemma of Design Space Exploration
Differential Privacy in Federated Dynamic Gradient Clipping Based on Gradient Norm
SolGPT a GPT-Based Static Vulnerability Detection model for enhancing Smart Contract Security
Neuron Pruning-Based Federated Learning For Communication-Efficient distributed Training
A Novel Network Topology Sensing Method for NetwoArk Security Situation Awareness
Distributed Task Offloading Method Based on Federated Reinforcement Learning in Vehicular Networks with Incomplete Information
Carbon Trading Based on Consortium Chain Building, Modeling, and Analysis
CAST An Intricate-Scene Aware Adaptive Bitrate Approach for Video Streaming via Parallel Training
A Hybrid Active and Passive Cache Method Based on Deep Learning in Edge Computing
We Will Find You An Edge-based Multi-UAV Multi-Recipient Identification Method in Smart Delivery Services
Multi-objective Optimization for Joint Handover Decision and Computation Offloading in Integrated Communications and Computing 6G Networks
A Joint Optimization Scheme in Heterogeneous UAV-Assisted MEC
Multi-UAV Collaborative Face Recognition for Goods Receiver in Edge-based Smart Delivery Services
Distributed Generative Adversarial Networks for Fuzzy Portfolio Optimization
A Novel Transaction Processing Model for Sharded Blockchain
Computation Offloading Based on Deep Reinforcement Learning for UAV-MEC Network
Privacy-aware Scheduling Heuristic Based on Priority in Edge Environment
A Novel Multi-objective Evolutionary Algorithm Hybrid Simulated Annealing Concept for Recommendation Systems
Eco-SLAM Resource-Efficient Edge-Assisted Collaborative Visual SLAM System
PowerDis Fine-grained Power Monitoring Through Power Disaggregation Model
WBGT Index Forecast Using Time Series Models in Smart Cities
Intelligent Collaborative Control of Multi-Source Heterogeneous Data Streams for Low-Power IoT A Flow Machine Learning Approach
Test-and-Decode A Partial Recovery Scheme for Verifiable Coded Computing
RecAGT Shard Testable Codes with Adaptive Group Testing for Malicious Nodes Identification in Sharding Permissioned Blockchain
GLAM-SERP Building a Graph Learning-Assisted Model for Soft Error Resilience Prediction in GPGPUs
THRCache DRAM-NVM Multi-level Cache with Thresholded Heterogeneous Random Choices
Efficient Multi-tunnel Flow Scheduling for Traffic Engineering
An Updatable Key Management Scheme for Underwater Wireless Sensor Networks.
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