Algorithms and Architectures for Parallel Processing : 21st International Conference, ICA3PP 2021, Virtual Event, December 3–5, 2021, Proceedings, Part I / edited by Yongxuan Lai, Tian Wang, Min Jiang, Guangquan Xu, Wei Liang, Aniello Castiglione.

Format:

Book

Contributor:

Lai, Yongxuan, editor.

Series:

Theoretical Computer Science and General Issues, 2512-2029 ; 13155

Language:

English

Subjects (All):

Algorithms.

Machine learning.

Computer networks.

Computer vision.

Computer engineering.

Design and Analysis of Algorithms.

Machine Learning.

Computer Communication Networks.

Computer Vision.

Computer Engineering and Networks.

Local Subjects:

Design and Analysis of Algorithms.

Machine Learning.

Computer Communication Networks.

Computer Vision.

Computer Engineering and Networks.

Physical Description:

1 online resource (835 pages)

Edition:

1st ed. 2022.

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2022.

Summary:

The three volume set LNCS 13155, 13156, and 13157 constitutes the refereed proceedings of the 21st International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2021, which was held online during December 3-5, 2021. The total of 145 full papers included in these proceedings were carefully reviewed and selected from 403 submissions. They cover the many dimensions of parallel algorithms and architectures including fundamental theoretical approaches, practical experimental projects, and commercial components and systems. The papers were organized in topical sections as follows: Part I, LNCS 13155: Deep learning models and applications; software systems and efficient algorithms; edge computing and edge intelligence; service dependability and security algorithms; data science; Part II, LNCS 13156: Software systems and efficient algorithms; parallel and distributed algorithms and applications; data science; edge computing and edge intelligence; blockchain systems; deept learning models and applications; IoT; Part III, LNCS 13157: Blockchain systems; data science; distributed and network-based computing; edge computing and edge intelligence; service dependability and security algorithms; software systems and efficient algorithms.

Contents:

Deep Learning Models and Applications

CRFST-GCN :A Deeplearning Spital-Temporal Frame to Predict Traffic Flow

BFR-RetinaNet: An Improved RetinaNet Model for Vehicle Detection in Aerial Images

Learning Knowledge Graph Embeddings by Multi-Attention Mechanism for Link Prediction

GlowImp: Combining GLOW and GAN for Multivariate Time Series Imputation

Accurate Indoor Localization Using Magnetic Sequence Fingerprints with Deep Learning

Wasserstein Graph Auto-Encoder

Fine-grained Activity Recognition Based on Features of Action Subsegments and Incremental Broad Learning

ADFA-LSTM: An Abnormal Trajectory Prediction Method Based On Bionic Neural Network

Online Multiple Object Tracking Algorithm based on Heat Map Propagation

Software Systems and Efficient Algorithms

Spatio-temporal Topology Routing Algorithm for Opportunistic Network Based on Self-Attention Mechanism

TSAEns: Ensemble Learning for KPI Anomaly Detection

Towards Transferable Adversarial Examples using Meta Learning

Temporal Convolution Network Based on Attention for Intelligent Anomaly Detection of Wind Turbine Blades

Error Serial Episodes Discovery from Mobile Payment Log in Distributed ETC

Parallel Cache Prefetching for LSM-Tree based Store: From Algorithm to Evaluation

A Hybrid TLBO-TS Algorithm based Mobile Service Selection for Composite Services

UPM-DMA: An Efficient Userspace DMA-Pinned Memory Management Strategy for NVMe SSD

AHOA: Adaptively Hybrid Optimization Algorithm for Flexible Job-shop Scheduling Problem

Trace-Navi: A High-Accuracy Indoor Navigation System based on Real-Time Activity Recognition and Discrete Trajectory Calibration

Iterative Filling Incomplete Fingerprint Map Based on Multi-directional Signal Propagation in Large-scale Scene

Dynamic Adjustment Policy of Search Driver Matching Distance via Markov Decision Process

A Multi-Precision Quantized Super-Resolution Model Framework

An Optimized GPU Implementation of Weakly-compressible SPH using CUDA-based strategies

A Heterogeneous Multi-Core Network-on-Chip Mapping Optimization Algorithm

A Novel 3D Intelligent Cluster Method for Malicious Traffic Fine-grained Classification

Predicting Students’ Academic Performance Based on Improved PSO-Xgboost: A Campus Behavior Perspective

Motion-sequence Authentication System: guard for smart phones

Edge Computing and Edge Intelligence

Joint Optimization Scheme of Multi-service Replication and Request Offloading in Mobile Edge Computing

Flying MEC: Online Task Offloading, Trajectory Planning and Charging Scheduling for UAV-assisted MEC

Multiple Workflows Offloading Based on Deep Reinforcement Learning in Mobile Edge Computing

An Optimized Greedy-based Task Offloading Method for Mobile Edge Computing

Location Aware Workflow Migration Based on Deep Reinforcement Learning in Mobile Edge Computing

Recode-Decode-and-Compare: An Efficient Verification Scheme for Coded Edge Computing against Collusion Attack

MGFL: Multi-granularity Federated Learning in Edge Computing Systems

Energy Efficient Priority-Based Task Scheduling for Computation Offloading in Fog Computing

Space-Heuristic Navigation and Occupancy Map Prediction for Robot Autonomous Exploration

Service Dependability and Security Algorithms

Edge DDoS attack detection method based on software defined networks

GradMFL: Gradient Memory-based Federated Learning for Hierarchical Knowledge Transferring over Non-IID Data

Linear Coded Federated Learning

Verifiable Dynamic Searchable Symmetric Encryption with Forward Privacy in Cloud-assisted E-Healthcare Systems

Security Analysis of Poisoning Attacks Against Multi-agent Reinforcement Learning

A blockchain-based proxy oriented cloud storage public audit scheme for low-performance terminal devices

Sunspot: A Decentralized Framework Enabling Privacy for Authorizable Data Sharing on Transparent Public Blockchains

A Novel Protection method of continuous location sharing based on local differential privacy and conditional random field

An Intelligent Allocation Mechanism Based on Ethereum Blockchain in Microgrid

Data Science

Multi-Layer Adaptive Sampling for Per-Flow Spread Measurement

Transformer-based Rating-Aware Sequential Recommendation

An effective single-pass approach for estimating the Φ-quantile in data streams

Fed-Tra: Improving Accuracy of Deep Learning Model on Non-IID Data in Federated Learning. .

Notes:

Includes bibliographical references and index.

Other Format:

Print version: Lai, Yongxuan Algorithms and Architectures for Parallel Processing

ISBN:

3-030-95384-X