LEADER 06469nam 22008055 450 001 9910647381703321 005 20241209083241.0 010 $a9783031243837 010 $a3031243838 024 7 $a10.1007/978-3-031-24383-7 035 $a(MiAaPQ)EBC7186266 035 $a(Au-PeEL)EBL7186266 035 $a(CKB)26050264200041 035 $a(DE-He213)978-3-031-24383-7 035 $a(PPN)267808216 035 $a(EXLCZ)9926050264200041 100 $a20230124d2022 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aCollaborative Computing: Networking, Applications and Worksharing $e18th EAI International Conference, CollaborateCom 2022, Hangzhou, China, October 15-16, 2022, Proceedings, Part I /$fedited by Honghao Gao, Xinheng Wang, Wei Wei, Tasos Dagiuklas 205 $a1st ed. 2022. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2022. 215 $a1 online resource (564 pages) 225 1 $aLecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering,$x1867-822X ;$v460 300 $aIncludes index. 311 08$aPrint version: Gao, Honghao Collaborative Computing: Networking, Applications and Worksharing Cham : Springer,c2023 9783031243820 327 $aRecommendation 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 -- Edge Computing 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 Based on Blockchain. 330 $aThe two-volume set LNICST 460 and 461 constitutes the proceedings of the 18th EAI International Conference on Collaborative Computing: Networking, Applications and Worksharing, CollaborateCom 2022, held in Hangzhou, China, in October 2022. The 57 full papers presented in the proceedings were carefully reviewed and selected from 171 submissions. The papers are organized in the following topical sections: Recommendation System; Federated Learning and application; Edge Computing and Collaborative working; Blockchain applications; Security and Privacy Protection; Deep Learning and application; Collaborative working; Images processing and recognition. 410 0$aLecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering,$x1867-822X ;$v460 606 $aInformation storage and retrieval systems 606 $aComputer systems 606 $aComputers, Special purpose 606 $aArtificial intelligence 606 $aInformation Storage and Retrieval 606 $aComputer System Implementation 606 $aSpecial Purpose and Application-Based Systems 606 $aArtificial Intelligence 606 $aProcessament distribuīt de dades$2thub 606 $aInformātica a la perifčria$2thub 606 $aSistemes d'informaciķ$2thub 606 $aSeguretat informātica$2thub 606 $aIntelˇligčncia artificial$2thub 608 $aCongressos$2thub 608 $aLlibres electrōnics$2thub 615 0$aInformation storage and retrieval systems. 615 0$aComputer systems. 615 0$aComputers, Special purpose. 615 0$aArtificial intelligence. 615 14$aInformation Storage and Retrieval. 615 24$aComputer System Implementation. 615 24$aSpecial Purpose and Application-Based Systems. 615 24$aArtificial Intelligence. 615 7$aProcessament distribuīt de dades 615 7$aInformātica a la perifčria 615 7$aSistemes d'informaciķ 615 7$aSeguretat informātica 615 7$aIntelˇligčncia artificial 676 $a004.6 676 $a004.6 702 $aGao$b Honghao 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910647381703321 996 $aCollaborative Computing: Networking, Applications and Worksharing$92067143 997 $aUNINA