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Collaborative Computing: Networking, Applications and Worksharing 19th EAI International Conference, CollaborateCom 2023, Corfu Island, Greece, October 4-6, 2023, Proceedings, Part III

Aus der Reihe Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

23.02.2024

Abbildungen

XIII, 408 p. 163 illus., 153 illus. in color.

Herausgeber

Honghao Gao + weitere

Verlag

Springer

Seitenzahl

408

Maße (L/B/H)

23,5/15,5/2,3 cm

Gewicht

639 g

Auflage

2024

Sprache

Englisch

ISBN

978-3-031-54530-6

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

23.02.2024

Abbildungen

XIII, 408 p. 163 illus., 153 illus. in color.

Herausgeber

Verlag

Springer

Seitenzahl

408

Maße (L/B/H)

23,5/15,5/2,3 cm

Gewicht

639 g

Auflage

2024

Sprache

Englisch

ISBN

978-3-031-54530-6

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

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  • Produktbild: Collaborative Computing: Networking, Applications and Worksharing
  • Produktbild: Collaborative Computing: Networking, Applications and Worksharing

  • Onsite 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.