Cover Image

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

The 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...

Full description

Saved in:
Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Gao, Honghao (Editor), Wang, Xinheng (Editor), Voros, Nikolaos (Editor)
Format: Electronic eBook
Language:English
Published: Cham : Springer Nature Switzerland : Imprint: Springer, 2024.
Edition:1st ed. 2024.
Series:Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 563
Subjects:
Computer systems.
Information storage and retrieval systems.
Computer networks .
Data protection.
Software engineering.
Computers, Special purpose.
Computer System Implementation.
Information Storage and Retrieval.
Computer Communication Networks.
Data and Information Security.
Software Engineering.
Special Purpose and Application-Based Systems.
Online Access:https://doi.org/10.1007/978-3-031-54531-3
Tags: Add Tag
No Tags, Be the first to tag this record!
Table of Contents:
  • 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.

Similar Items