Full Description
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
Contents
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.
