001459947 000__ 06204cam\a2200601\i\4500
001459947 001__ 1459947
001459947 003__ OCoLC
001459947 005__ 20230330003236.0
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001459947 020__ $$a9783031243837$$qelectronic book
001459947 020__ $$a3031243838$$qelectronic book
001459947 020__ $$z9783031243820$$qpaperback
001459947 020__ $$z303124382X$$qpaperback
001459947 0247_ $$a10.1007/978-3-031-24383-7$$2doi
001459947 035__ $$aSP(OCoLC)1367855502
001459947 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dUKAHL$$dYDX
001459947 049__ $$aISEA
001459947 050_4 $$aTK5105.5$$b.C65 2022
001459947 08204 $$a004.6$$223/eng/20230201
001459947 1112_ $$aInternational Conference on Collaborative Computing: Networking, Applications, and Worksharing$$n(18th :$$d2022 :$$cHangzhou, China)
001459947 24510 $$aCollaborative computing :$$bnetworking, applications and worksharing : 18th EAI International Conference, CollaborateCom 2022, Hangzhou, China, October 15-16, 2022, proceedings.$$nPart I /$$cHonghao Gao, Xinheng Wang, Wei Wei, Tasos Dagiuklas (eds.).
001459947 2463_ $$aCollaborateCom 2022
001459947 264_1 $$aCham :$$bSpringer Nature Switzerland AG,$$c[2022]
001459947 300__ $$a1 online resource (xvii, 544 pages) :$$billustrations (some color).
001459947 336__ $$atext$$btxt$$2rdacontent
001459947 337__ $$acomputer$$bc$$2rdamedia
001459947 338__ $$aonline resource$$bcr$$2rdacarrier
001459947 4901_ $$aLecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering ;$$v460
001459947 500__ $$aConference proceedings.
001459947 504__ $$aIncludes bibliographical references and index.
001459947 5050_ $$aRecommendation 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.
001459947 506__ $$aAccess limited to authorized users.
001459947 520__ $$aThe two-volume set LNICST 460 and 461 constitutes the proceedings of the 18th EAI International Conference on Collaborative Computing: Networking, Applications and Worksharing, CollaborateCom 2022, held in Hangzhou, China, in October 2022. The 57 full papers presented in the proceedings were carefully reviewed and selected from 171 submissions. The papers are organized in the following topical sections: Recommendation System; Federated Learning and application; Edge Computing and Collaborative working; Blockchain applications; Security and Privacy Protection; Deep Learning and application; Collaborative working; Images processing and recognition.
001459947 588__ $$aDescription based on online resource; title from digital title page (viewed on March 20, 2023).
001459947 650_0 $$aComputer networks$$vCongresses.
001459947 650_0 $$aMultimedia systems$$vCongresses.
001459947 650_0 $$aOnline social networks$$vCongresses.
001459947 650_0 $$aElectronic data processing$$xDistributed processing$$vCongresses.
001459947 655_0 $$aElectronic books.
001459947 7001_ $$aGao, Honghao,$$eeditor.
001459947 7001_ $$aWang, Xinheng,$$eeditor.
001459947 7001_ $$aWei, Wei,$$eeditor.
001459947 7001_ $$aDagikulas, Tasos,$$eeditor.
001459947 77608 $$iPrint version:$$aInternational Conference on Collaborative Computing: Networking, Applications and Worksharing (18th : 2022 : Hangzhou, China), creator.$$tCollaborative computing : Part I.$$dCham : Springer Nature Switzerland, 2023$$z9783031243820$$w(OCoLC)1355072727
001459947 830_0 $$aLecture notes of the Institute for Computer Sciences, Social Informatics, and Telecommunications Engineering ;$$v460.
001459947 852__ $$bebk
001459947 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-24383-7$$zOnline Access$$91397441.1
001459947 909CO $$ooai:library.usi.edu:1459947$$pGLOBAL_SET
001459947 980__ $$aBIB
001459947 980__ $$aEBOOK
001459947 982__ $$aEbook
001459947 983__ $$aOnline
001459947 994__ $$a92$$bISE