The two-volume set LNICST 460 and 461 constitutes the proceedings of the 18th EAI International Conference on Collaborative Computing: Networking, Applications and Worksharing, CollaborateCom 2022, held in Hangzhou, China, in October 2022. Edge Computing and Collaborative working;

Recommendation System.- A Negative Sampling-based Service Recommendation Method.- Knowledge Graph Enhanced Web API Recommendation via Neighbor Information Propagation for Multi service Application Development.- Expertise-oriented Explainable Question Routing.- An API Recommendation Method based on Beneficial Interaction.- A flow prediction model of bike-sharing based on cycling context.- Federated Learning and application.- FedFR: Evaluation and Selection of Loss Functions for Federated Face Recognition.- FedCL: An Efficient Federated Unsupervised Learning for Model Sharing in IoT.- Edge Federated Learning for Social Profit Optimality: A Cooperative Game Approach.- MetaEM: Meta Embedding Mapping for Federated Cross-Domain Recommendation to Cold-Start Users.- A Reliable Service Function Chain Orchestration Method Based on Federated Reinforcement Learning.- EdgeComputing and Collaborative working.- A Context-aware Approach to Scheduling of Multi-Data- Source Tasks in Mobile Edge Computing.- Secure and Private Coding for Edge Computing against Cooperative Attack with Low Communication Cost and Computational Load.- Availability-Constrained Application Deployment in Hybrid Cloud-Edge Collaborative Environment.- EBA: An Adaptive Large Neighborhood Search-based Approach for Edge Bandwidth Allocation.- System Completion Time Minimization with Edge Server Onboard Unmanned Vehicle.- An approach to the synchronization of dynamic complex network combining degree distribution and eigenvector criteria.- An Energy-Saving Strategy for 5G Base Stations in Vehicular Edge Computing.- An efficient scheduling strategy for containers based on Kubernetes.- NOMA-Based Task Offloading and Allocation in Vehicular Edge Computing Networks.- A Collaborative Graph Convolutional Networks and Learning Styles Model For Courses Recommendation.- Exploring the Impact of Structural Holes on the Value Creation in Service Ecosystems.- Learning Dialogue Policy Efficiently Through Dyna Proximal Policy Optimization.- Self-Gated FM: Revisiting the Weight of Feature Interactions for CTR Prediction.- Heterogeneous Graph Neural Network-based Software Developer Recommendation.- Blockchain applications.- FAV-BFT:An Efficient File Authenticity Verification Protocol for Blockchain-based File-Sharing System.- Incentive Mechanism Design for Uncertain Tasks in Mobile Crowd Sensing Systems Utilizing Smart Contract in Blockchain.- Research on the Update Method of CP-ABE Access Control Strategy based on Smart Contract.- Effective Blockchain-based Asynchronous Federated Learning for Edge-computing.- One-Time Anonymous Certificateless Signcryption Scheme Basedon Blockchain.