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

  • Conference proceedings
  • © 2024

Overview

Editors:
  1. Honghao Gao

    1. Shanghai University, Shanghai, China

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  2. Xinheng Wang

    1. Xi’an Jiaotong-Liverpool, Suzhou, China

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    You can also search for this editor in PubMed   Google Scholar

  3. Nikolaos Voros

    1. University of Peloponnese, Patra, Greece

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    You can also search for this editor in PubMed   Google Scholar

Included in the following conference series:

Conference proceedings info: CollaborateCom 2023.

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About this book

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 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.



Keywords

Table of contents (21 papers)

  1. Front Matter

    Pages i-xiii
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  2. Onsite Session Day 2

    1. Front Matter

      Pages 1-1
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    2. Multi-agent Reinforcement Learning Based Collaborative Multi-task Scheduling for Vehicular Edge Computing

      • Peisong Li, Ziren Xiao, Xinheng Wang, Kaizhu Huang, Yi Huang, Andrei Tchernykh
      Pages 3-22

    3. A Novel Topology Metric for Indoor Point Cloud SLAM Based on Plane Detection Optimization

      • Zhenchao Ouyang, Jiahe Cui, Yunxiang He, Dongyu Li, Qinglei Hu, Changjie Zhang
      Pages 23-40

    4. On the Performance of Federated Learning Network

      • Godwin Idoje, Tasos Dagiuklas, Muddesar Iqbal
      Pages 41-56

  3. Federated Learning and Application

    1. Front Matter

      Pages 57-57
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    2. FedECCR: Federated Learning Method with Encoding Comparison and Classification Rectification

      • Yan Zeng, Hui Zheng, Xin Wang, Beibei Zhang, Mingyao Zhou, Jilin Zhang et al.
      Pages 59-78

    3. CSA_FedVeh: Cluster-Based Semi-asynchronous Federated Learning Framework for Internet of Vehicles

      • Dun Cao, Jiasi Xiong, Nanfang Lei, Robert Simon Sherratt, Jin Wang
      Pages 79-99

    4. Efficiently Detecting Anomalies in IoT: A Novel Multi-Task Federated Learning Method

      • Junfeng Hao, Juan Chen, Peng Chen, Yang Wang, Xianhua Niu, Lei Xu et al.
      Pages 100-117

    5. A Novel Deep Federated Learning-Based and Profit-Driven Service Caching Method

      • Zhaobin Ouyang, Yunni Xia, Qinglan Peng, Yin Li, Peng Chen, Xu Wang
      Pages 118-133

    6. A Multi-behavior Recommendation Algorithm Based on Personalized Federated Learning

      • Zhongqin Bi, Yutang Duan, Weina Zhang, Meijing Shan
      Pages 134-153

    7. FederatedMesh: Collaborative Federated Learning for Medical Data Sharing in Mesh Networks

      • Lamir Shkurti, Mennan Selimi, Adrian Besimi
      Pages 154-169

  4. Collaborative Working

    1. Front Matter

      Pages 171-171
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    2. Enhance Broadcasting Throughput by Associating Network Coding with UAVs Relays Deployment in Emergency Communications

      • Chaonong Xu, Yujie Jiang
      Pages 173-190

    3. Dynamic Target User Selection Model for Market Promotion with Multiple Stakeholders

      • Linxin Guo, Shiqi Wang, Min Gao, Chongming Gao
      Pages 191-207

    4. Collaborative Decision-Making Processes Analysis of Service Ecosystem: A Case Study of Academic Ecosystem Involution

      • Xiangpei Yan, Xiao Xue, Chao Peng, Donghua Liu, Zhiyong Feng, Wang Xiao
      Pages 208-228

    5. Operationalizing the Use of Sensor Data in Mobile Crowdsensing: A Systematic Review and Practical Guidelines

      • Robin Kraft, Maximilian Blasi, Marc Schickler, Manfred Reichert, Rüdiger Pryss
      Pages 229-248

    6. Enriching Process Models with Relevant Process Details for Flexible Human-Robot Teaming

      • Myriel Fichtner, Sascha Sucker, Dominik Riedelbauch, Stefan Jablonski, Dominik Henrich
      Pages 249-269

  5. Edge Computing

    1. Front Matter

      Pages 271-271
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    2. Joint Optimization of PAoI and Queue Backlog with Energy Constraints in LoRa Gateway Systems

      • Lei Shi, Rui Ji, Zhen Wei, Shilong Feng, Zhehao Li
      Pages 273-290
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Other volumes

  1. Collaborative Computing: Networking, Applications and Worksharing

  2. Collaborative Computing: Networking, Applications and Worksharing

  3. Collaborative Computing: Networking, Applications and Worksharing

Editors and Affiliations

  • Shanghai University, Shanghai, China

    Honghao Gao

  • Xi’an Jiaotong-Liverpool, Suzhou, China

    Xinheng Wang

  • University of Peloponnese, Patra, Greece

    Nikolaos Voros

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