Collaborative Computing: Networking, Applications and Worksharing - 20th EAI International Conference, CollaborateCom 2024, Wuzhen, China, November 14-17, 2024, Proceedings, Part II

The three-volume set LNICST 624, 625, 626 constitutes the refereed proceedings of the 20th EAI International Conference on Collaborative Computing: Networking, Applications and Worksharing, CollaborateCom 2024, held in Wuzhen, China, during November 14 17, 2024. 
The 62 full papers were carefully reviewed and selected from 173 submissions. They are categorized under the topical sections as follows:  
Edge computing & Task scheduling
Deep Learning and application
Blockchain applications
Security and Privacy Protection
Representation learning & Collaborative working
Graph neural networks & Recommendation systems
Federated Learning and application

Inhaltsverzeichnis

Blockchain Application.- Enabling Authenticated Query Services on Multi-Dimensional Data in Collaborative Blockchain.- ORIC-Shard: A Scalable Blockchain Network with Sharding.- A blockchain-based approach to precise accountable resource sharing.- On and Off-chain Load Balancing Model Based on Stackelberg Game.- Security and Privacy Protection.- A Large-Scale Pretrained Model for Malicious URL Detection.- CCAuth: Elevating Privacy and Security Elegance in a Continuous Covert Authentication Dance.- svRDMA: Securing an RDMA Network in Virtualization Environments.- S-TSG: Description Model of Transient Execution Attacks in Intel SGX.- FRBFT: A BFT Consensus Protocol Supporting Fault Removal for Industrial Internet of Things.- Representation learning & Collaborative Working.- KAN-PPO: A Fast Convergence and Stable Proximal Policy Optimization Powered by Kolmogorov Arnold Network.- ComplexAgents: Complex Code Generation Framework Based on Multi-Agents and Large Language Model.- Enhancing Molecular Property Prediction with Dual-Level Representation Learning.- Multi-Level Representation Learning with Neural Hawkes Process for Information Diffusion Prediction.- IoT-ILDI: Incremental Learning for Device Identification in IoT.- Worker-Quality Adaptive Task Assignment in Collaborative Crowdsourcing.- Towards Efficient Collaborative Data Transmission in JointCloud: A Dynamic Chunking Mechanism.- Critical Nodes Detection for Wireless Sensor Networks Based on Multi-Objective Optimization.- A Two-step Data Augmentation Method for Cross-lingual Sentiment Classification.- Load Balance Oriented Incentive Algorithm for Collaborative Scheduling on Intra-vehicle and Inter-vehicle.- An Enhanced STAR-RIS Air-Space Integrated Network with Collaborative Task Offloading.- A QoS-guaranteed Load Balance Scheme for Data Center Networks.

Zusammenfassung

The three-volume set LNICST 624, 625, 626 constitutes the refereed proceedings of the 20th EAI International Conference on Collaborative Computing: Networking, Applications and Worksharing, CollaborateCom 2024, held in Wuzhen, China, during November 14–17, 2024. 
The 62 full papers were carefully reviewed and selected from 173 submissions. They are categorized under the topical sections as follows:  
Edge computing & Task scheduling
Deep Learning and application
Blockchain applications
Security and Privacy Protection
Representation learning & Collaborative working
Graph neural networks & Recommendation systems
Federated Learning and application

Produktdetails

• Mitarbeit: Honghao Gao (Herausgeber), Wang (Herausgeber), Xinheng Wang (Herausgeber)
• Verlag: Springer, Berlin
• Sprache: Englisch
• Produktform: Taschenbuch
• Erschienen: 07.08.2025
• EAN: 9783031932533
• ISBN: 978-3-0-3193253-3
• Seiten: 404
• Abmessung: 155 mm x 23 mm x 235 mm
• Gewicht: 634 g
• Illustration: XIII, 404 p. 140 illus., 127 illus. in color.
• Serie: Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
• Themen: Naturwissenschaften, Medizin, Informatik, Technik > Informatik, EDV > Informatik; Computersicherheit, Netzwerksicherheit, Software Engineering, Netzwerk-Hardware, Data Warehousing, Informationsrückgewinnung, Information Retrieval, Wissensbasierte Systeme, Expertensysteme, Data and Information Security, Computer Communication Networks, Computer System Implementation, Information Storage and Retrieval, Special Purpose and Application-Based Systems, recommendation systems, Representation Learning, Graph Neural Networks, Federated Learning and application, Edge Computing and Task scheduling, Security and Privacy Protection, Blockchain applications, Deep Learning and application, Collaborative working