Collaborative computing : networking, applications and worksharing : 18th EAI International Conference, CollaborateCom 2022, Hangzhou, China, October 15-16, 2022, proceedings. Part I

Collaborative computing : Part I / networking, applications and worksharing : 18th EAI International Conference, CollaborateCom 2022, Hangzhou, China, October 15-16, 2022, proceedings. Honghao Gao, Xinheng Wang, Wei Wei, Tasos Dagiuklas (eds.).

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 careful...

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Bibliographic Details
Corporate Author: International Conference on Collaborative Computing: Networking, Applications, and Worksharing Hangzhou, China
Other Authors: Gao, Honghao (Editor), Wang, Xinheng (Editor), Wei, Wei (Editor), Dagikulas, Tasos (Editor)
Format: eBook
Language:English
Published: Cham : Springer Nature Switzerland AG, [2022]
Series:Lecture notes of the Institute for Computer Sciences, Social Informatics, and Telecommunications Engineering ; 460.
Subjects:
Computer networks > Congresses.
Multimedia systems > Congresses.
Online social networks > Congresses.
Electronic data processing > Distributed processing > Congresses.
Computer networks
Electronic data processing > Distributed processing
Multimedia systems
Online social networks
proceedings (reports)
Conference papers and proceedings
Conference papers and proceedings.
Actes de congrès.
Online Access:Click for online access
Table of Contents:
  • Recommendation System
  • A Negative Sampling-based Service Recommendation Method
  • Knowledge Graph Enhanced Web API Recommendation via Neighbor Information Propagation for Multi service Application Development
  • Expertise-oriented Explainable Question Routing
  • An API Recommendation Method based on Beneficial Interaction
  • A flow prediction model of bike-sharing based on cycling context
  • Federated Learning and application
  • FedFR: Evaluation and Selection of Loss Functions for Federated Face Recognition
  • FedCL: An Efficient Federated Unsupervised Learning for Model Sharing in IoT
  • Edge Federated Learning for Social Profit Optimality: A Cooperative Game Approach
  • MetaEM: Meta Embedding Mapping for Federated Cross-Domain Recommendation to Cold-Start Users
  • A Reliable Service Function Chain Orchestration Method Based on Federated Reinforcement Learning
  • Edge Computing and Collaborative working
  • A Context-aware Approach to Scheduling of Multi-Data- Source Tasks in Mobile Edge Computing
  • Secure and Private Coding for Edge Computing against Cooperative Attack with Low Communication Cost and Computational Load
  • Availability-Constrained Application Deployment in Hybrid Cloud-Edge Collaborative Environment
  • EBA: An Adaptive Large Neighborhood Search-based Approach for Edge Bandwidth Allocation
  • System Completion Time Minimization with Edge Server Onboard Unmanned Vehicle
  • An approach to the synchronization of dynamic complex network combining degree distribution and eigenvector criteria
  • An Energy-Saving Strategy for 5G Base Stations in Vehicular Edge Computing
  • An efficient scheduling strategy for containers based on Kubernetes
  • NOMA-Based Task Offloading and Allocation in Vehicular Edge Computing Networks
  • A Collaborative Graph Convolutional Networks and Learning Styles Model For Courses Recommendation
  • Exploring the Impact of Structural Holes on the Value Creation in Service Ecosystems
  • Learning Dialogue Policy Efficiently Through Dyna Proximal Policy Optimization
  • Self-Gated FM: Revisiting the Weight of Feature Interactions for CTR Prediction
  • Heterogeneous Graph Neural Network-based Software Developer Recommendation
  • Blockchain applications
  • FAV-BFT:An Efficient File Authenticity Verification Protocol for Blockchain-based File-Sharing System
  • Incentive Mechanism Design for Uncertain Tasks in Mobile Crowd Sensing Systems Utilizing Smart Contract in Blockchain
  • Research on the Update Method of CP-ABE Access Control Strategy based on Smart Contract
  • Effective Blockchain-based Asynchronous Federated Learning for Edge-computing
  • One-Time Anonymous Certificateless Signcryption Scheme Based on Blockchain.

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