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Collaborative Computing: Networking, Applications and Worksharing: 18th EAI International Conference, CollaborateCom 2022, Hangzhou, China, October 15 [Paperback]

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  • Category: Books (Computers)
  • ISBN-10:  303124382X
  • ISBN-10:  303124382X
  • ISBN-13:  9783031243820
  • ISBN-13:  9783031243820
  • Publisher:  Springer
  • Publisher:  Springer
  • Binding:  Paperback
  • Binding:  Paperback
  • Pub Date:  01-Apr-2023
  • Pub Date:  01-Apr-2023
  • SKU:  303124382X-11-SPRI
  • SKU:  303124382X-11-SPRI
  • Pages:  555
  • Pages:  555
  • Item ID: 105231747
  • List Price: $109.99
  • Seller: ShopSpell
  • Ships in: 5 business days
  • Transit time: Up to 5 business days
  • Delivery by: Oct 07 to Oct 09
  • Notes: Brand New Item. Not shipped to AK, HI, APO, FPO, AE.
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.
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.- EdgeComputing and Collaborative working.- A Context-aware Approach to Scheduling of Multi-Data- Source Tasks in Mobill#&
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