Collaborative Computing: Networking, Applications and Worksharing : 19th EAI International Conference, CollaborateCom 2023, Corfu Island, Greece, October 4-6, 2023, Proceedings, Part II / edited by Honghao Gao, Xinheng Wang, Nikolaos Voros.

Format:

Book

Contributor:

Gao, Honghao, editor.

Wang, Xinheng, editor.

Voros, Nikolaos, editor.

Series:

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 1867-822X ; 562

Language:

English

Subjects (All):

Computer systems.

Information storage and retrieval systems.

Computer networks.

Data protection.

Software engineering.

Computers, Special purpose.

Computer System Implementation.

Information Storage and Retrieval.

Computer Communication Networks.

Data and Information Security.

Software Engineering.

Special Purpose and Application-Based Systems.

Local Subjects:

Computer System Implementation.

Information Storage and Retrieval.

Computer Communication Networks.

Data and Information Security.

Software Engineering.

Special Purpose and Application-Based Systems.

Physical Description:

1 online resource (544 pages)

Edition:

1st ed. 2024.

Place of Publication:

Cham : Springer Nature Switzerland : Imprint: Springer, 2024.

Summary:

The three-volume set LNICST 561, 562 563 constitutes the refereed post-conference proceedings of the 19th EAI International Conference on Collaborative Computing: Networking, Applications and Worksharing, CollaborateCom 2023, held in Corfu Island, Greece, during October 4-6, 2023. The 72 full papers presented in these proceedings were carefully reviewed and selected from 176 submissions. The papers are organized in the following topical sections: Volume I : Collaborative Computing, Edge Computing & Collaborative working, Blockchain applications, Code Search and Completion, Edge Computing Scheduling and Offloading. Volume II: Deep Learning and Application, Graph Computing, Security and Privacy Protection and Processing and Recognition. Volume III: Onsite Session Day2, Federated learning and application, Collaborative working, Edge Computing and Prediction, Optimization and Applications.

Contents:

Deep Learning and Application

Task Offloading in UAV-to-Cell MEC Networks: Cell Clustering and Path Planning.LAMB: Label-induced Mixed-level Blending for Multimodal Multi-label Emotion Detection

MSAM: Deep Semantic Interaction Network for Visual Question Answering

Defeating the non-stationary opponent using deep reinforcement learning and opponent modeling

Multi-agent Deep Reinforcement Learning-based Approach to Mobility-aware Caching

D-AE: A Discriminant Encode-Decode Nets For Data Generation

ECCRG: A Emotion- and Content-controllable Response Generation Model

Origin-Destination Convolution Recurrent Network: A Novel OD Matrix Prediction Framework

MD-TransUNet: TransUNet with Multi-Attention and Dilated Convolution for Brain Stroke Lesion Segmentation

Graph Computing

DGFormer: An Effective Dynamic Graph Transformer based Anomaly Detection Model for IoT Time Series

STAPointGNN: Spatial-Temporal Attention Graph Neural Network for Gesture Recognition Using Millimeter-Wave Radar

NPGraph: An Efficient Graph Computing Model in NUMA-Based Persistent Memory Systems

tHR-Net: A Hybrid Reasoning Framework for Temporal Knowledge Graph

Improving Code Representation Learning via Multi-view Contrastive Graph Pooling for Abstract Syntax Tree

Security and Privacy Protection

Protect applications and data in use in IoT environment using collaborative computing

Robustness-enhanced assertion generation method based on code mutation and attack defense

Secure Traffic Data Sharing in UAV-Assisted VANETs

A Lightweight PUF-Based Group Authentication Scheme for Privacy-Preserving Metering Data Collection in Smart Grid

A Semi-Supervised Learning Method for Malware Traffic Classification with Raw Bitmaps

Secure and Private Approximated Coded Distributed Computing Using Elliptic Curve Cryptography

A Novel Semi-supervised IoT Time Series Anomaly Detection Model using Graph Structure Learning

Structural Adversarial Attack for Code Representation Models

An Efficient Authentication and Key Agreement Scheme for CAV Internal Applications

Processing and Recognition

SimBPG: A comprehensive similarity evaluation metric for business process graphs

Probabilistic Inference Based Incremental Graph Index for Similarity Search on Social Networks

Cloud-Edge-Device Collaborative Image Retrieval and Recognition for Mobile Web

Contrastive Learning-based Finger-Vein Recognition with Automatic Adversarial Augmentation

Multi-Dimensional Sequential Contrastive Learning for QoS Prediction.

Notes:

Includes bibliographical references and index.

ISBN:

9783031545283