Collaborative Computing: Networking, Applications and Worksharing [[electronic resource] ] : 19th EAI International Conference, CollaborateCom 2023, Corfu Island, Greece, October 4-6, 2023, Proceedings, Part III / / edited by Honghao Gao, Xinheng Wang, Nikolaos Voros

• Record Nr.: UNINA9910841854103321
• Autore: Gao Honghao
• Pubbl/distr/stampa: Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
• ISBN: 9783031545313
• Edizione: [1st ed. 2024.]
• Descrizione fisica: 1 online resource (412 pages)
• Collana: Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, , 1867-822X ; ; 563
• Altri autori (Persone): WangXinheng; VorosNikolaos
• Disciplina: 004.2
• Soggetti: 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
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Nota di contenuto: 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.
• Sommario/riassunto: 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 Day 2, Federated learning and application, Collaborative working, Edge Computing and Prediction, Optimization and Applications.