05653nam a22005895i 4500001001800000003000900018005001700027007001500044008004100059020003700100024003500137050001500172072001600187072002300203072001500226245027100241250001800512264006900530300006800599336002600667337002600693338003600719347002400755490013100779505217800910520090303088650002203991650005404013650003204067650002104099650003304120650003204153650003604185650004604221650004404267650004204311650003304353650005104386700008204437700008304519700008504602710003404687773002604721776003604747776003604783830013804819856004604957912001405003912001505017912001405032999001705046978-3-031-54531-3DE-He21320251030111439.0cr nn 008mamaa240222s2024    sz |    s    |||| 0|eng d  a97830315453139978-3-031-54531-37 a10.1007/978-3-031-54531-32doi 4aQA76.9.S88 7aUYD2bicssc 7aCOM0110002bisacsh 7aUYD2thema10aCollaborative Computing: Networking, Applications and Worksharingh[electronic resource] :b19th EAI International Conference, CollaborateCom 2023, Corfu Island, Greece, October 4-6, 2023, Proceedings, Part III /cedited by Honghao Gao, Xinheng Wang, Nikolaos Voros.  a1st ed. 2024. 1aCham :bSpringer Nature Switzerland :bImprint: Springer,c2024.  aXIII, 408 p. 163 illus., 153 illus. in color.bonline resource.  atextbtxt2rdacontent  acomputerbc2rdamedia  aonline resourcebcr2rdacarrier  atext filebPDF2rda1 aLecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering,x1867-822X ;v5630 aOnsite Session Day 2 -- Multi-agent Reinforcement Learning based Collaborative Multi-task Scheduling for Vehicular Edge Computing -- A Novel Topology Metric for Indoor Point Cloud SLAM Based on Plane Detection Optimization -- On the Performance of Federated Learning Network -- Federated learning and application -- FedECCR: Federated Learning Method with Encoding Comparison and Classification Rectification -- CSA_FedVeh: Cluster-based Semi-Asynchronous Federated Learning framework for Internet of Vehicles -- Efficiently Detecting Anomalies in IoT: A Novel Multi-Task Federated Learning Method -- A Novel Deep Federated Learning-based and Profit-Driven Service Caching Method -- A Multi-Behavior Recommendation Algorithm Based on Personalized Federated Learning -- FederatedMesh: Collaborative Federated Learning for Medical Data Sharing in Mesh Networks -- Collaborative working -- Enhance broadcasting throughput by associating network coding with UAVs relays deployment in emergency communications -- Dynamic Target User Selection Model For Market Promotion with Multiple Stakeholders -- Collaborative Decision-making Processes Analysis of Service Ecosystem: A Case Study of Academic Ecosystem Involution -- Operationalizing the Use of Sensor Data in Mobile Crowdsensing: A Systematic Review and Practical Guidelines -- Enriching Process Models with Relevant Process Details for Flexible Human-Robot Teaming -- Edge Computing -- Joint Optimization of PAoI and Queue Backlog with Energy Constraints in LoRa Gateway Systems -- Enhancing Session-based Recommendation with Multi-granularity User Interest-aware Graph Neural Networks -- Delay-constrained Multicast Throughput Maximization in MEC Networks for High-Speed Railways -- An Evolving Transformer Network based on Hybrid Dilated Convolution for Traffic Flow Prediction -- Prediction, Optimization and Applications -- DualDNSMiner: A Dual-stack Resolver Discovery Method Based on Alias Resolution -- DT-MUSA: Dual Transfer Driven Multi-Source Domain Adaptation for WEEE Reverse Logistics Return Prediction -- A Synchronous Parallel Method with Parameters Communication Prediction for Distributed Machine Learning.  aThe 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. 0aComputer systems. 0aInformation storage and retrieval systems.965568 0aComputer networks .960157 0aData protection. 0aSoftware engineering.933953 0aComputers, Special purpose.14aComputer System Implementation.24aInformation Storage and Retrieval.96557024aComputer Communication Networks.96568924aData and Information Security.96649224aSoftware Engineering.93395324aSpecial Purpose and Application-Based Systems.1 aGao, Honghao.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt9715841 aWang, Xinheng.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt9715851 aVoros, Nikolaos.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt9715862 aSpringerLink (Online service)0 tSpringer Nature eBook08iPrinted edition:z978303154530608iPrinted edition:z9783031545320 0aLecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering,x1867-822X ;v56396812140uhttps://doi.org/10.1007/978-3-031-54531-3  aZDB-2-SCS  aZDB-2-SXCS  aZDB-2-LNS  c57816d57816