Skip to main content
  • Conference proceedings
  • © 2022

Collaborative Computing: Networking, Applications and Worksharing

18th EAI International Conference, CollaborateCom 2022, Hangzhou, China, October 15-16, 2022, Proceedings, Part I

Editors:

Conference proceedings info: CollaborateCom 2022.

Buy it now

Buying options

eBook USD 79.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 99.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

This is a preview of subscription content, log in via an institution to check for access.

Table of contents (29 papers)

  1. Front Matter

    Pages i-xvii
  2. Recommendation System

    1. Front Matter

      Pages 1-1
    2. A Negative Sampling-Based Service Recommendation Method

      • Ziming Xie, Buqing Cao, Xinwen Liyan, Bing Tang, Yueying Qing, Xiang Xie et al.
      Pages 3-19
    3. Knowledge Graph Enhanced Web API Recommendation via Neighbor Information Propagation for Multi-service Application Development

      • Zhen Chen, Yujie Li, Yuying Wang, Xiaowei Liu, Yifan Xing, Linlin Liu et al.
      Pages 20-40
    4. Expertise-Oriented Explainable Question Routing

      • Yulu Li, Wenjun Wang, Qiyao Peng, Hongtao Liu, Minglai Shao, Pengfei Jiao
      Pages 41-57
    5. An API Recommendation Method Based on Beneficial Interaction

      • Siyuan Wang, Buqing Cao, Xiang Xie, Lulu Zhang, Guosheng Kang, Jianxun Liu
      Pages 58-72
    6. A Flow Prediction Model of Bike-Sharing Based on Cycling Context

      • Yizhu Zhao, Jun Zeng, Min Gao, Wei Zhou, Junhao Wen
      Pages 73-92
  3. Federated Learning and Application

    1. Front Matter

      Pages 93-93
    2. FedFR: Evaluation and Selection of Loss Functions for Federated Face Recognition

      • Ertong Shang, Zhuo Yang, Hui Liu, Junzhao Du, Xingyu Wang
      Pages 95-114
    3. FedCL: An Efficient Federated Unsupervised Learning for Model Sharing in IoT

      • Chen Zhao, Zhipeng Gao, Qian Wang, Zijia Mo, Xinlei Yu
      Pages 115-134
    4. Edge Federated Learning for Social Profit Optimality: A Cooperative Game Approach

      • Wenyuan Zhang, Guangjun Wu, Yongfei Liu, Binbin Li, Jiawei Sun
      Pages 135-153
    5. MetaEM: Meta Embedding Mapping for Federated Cross-domain Recommendation to Cold-Start Users

      • Dongyi Zheng, Yeting Guo, Fang Liu, Nong Xiao, Lu Gao
      Pages 154-172
    6. A Reliable Service Function Chain Orchestration Method Based on Federated Reinforcement Learning

      • Zhiwen Xiao, Tao Tao, Zhuo Chen, Meng Yang, Jing Shang, Zhihui Wu et al.
      Pages 173-189
  4. Edge Computing and Collaborative Working

    1. Front Matter

      Pages 191-191
    2. EBA: An Adaptive Large Neighborhood Search-Based Approach for Edge Bandwidth Allocation

      • Qinghong Hu, Qinglan Peng, Jiaxing Shang, Yong Li, Junjie He
      Pages 249-268
    3. System Completion Time Minimization with Edge Server Onboard Unmanned Vehicle

      • Wen Peng, Hongyue Wu, Shizhan Chen, Lei Dong, Zhuofeng Zhao, Zhiyong Feng
      Pages 269-289

Other Volumes

  1. Collaborative Computing: Networking, Applications and Worksharing

About this book

The 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.

Editors and Affiliations

  • Shanghai University, Shanghai, China

    Honghao Gao

  • Xi’an Jiaotong-Liverpool University, Suzhou, China

    Xinheng Wang

  • Zhejiang University City College, Hangzhou, China

    Wei Wei

  • London South Bank University, London, UK

    Tasos Dagiuklas

Bibliographic Information

Buy it now

Buying options

eBook USD 79.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 99.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access