LEADER 01547oam 2200529zu 450 001 9910140042603321 005 20241212215741.0 010 $a9781509068029 010 $a1509068023 010 $a9781424449583 010 $a1424449588 035 $a(CKB)1000000000812325 035 $a(SSID)ssj0000452836 035 $a(PQKBManifestationID)12175921 035 $a(PQKBTitleCode)TC0000452836 035 $a(PQKBWorkID)10480670 035 $a(PQKB)10101804 035 $a(NjHacI)991000000000812325 035 $a(Association for Computing Machinery)10.5555/1936810 035 $a(EXLCZ)991000000000812325 100 $a20160829d2009 uy 101 0 $aeng 135 $aur||||||||||| 181 $ctxt 182 $cc 183 $acr 200 10$a2009 IEEE/ACM International Symposium on Nanoscale Architectures 210 31$a[Place of publication not identified]$cI E E E$d2009 215 $a1 online resource 225 1 $aACM Conferences 300 $aBibliographic Level Mode of Issuance: Monograph 311 08$a9781424449576 311 08$a142444957X 410 0$aACM Conferences 517 3 $aNANOARCH '09 606 $aNanoelectronics$vCongresses 606 $aNanostructured materials 615 0$aNanoelectronics 615 0$aNanostructured materials. 676 $a621.381 702 $aIEEE Staff 712 02$aAssociation for Computing Machinery-Digital Library. 801 0$bPQKB 906 $aPROCEEDING 912 $a9910140042603321 996 $a2009 IEEE$92188592 997 $aUNINA LEADER 04928nam 22007335 450 001 9911046555103321 005 20250810130158.0 010 $a3-031-93257-9 024 7 $a10.1007/978-3-031-93257-1 035 $a(MiAaPQ)EBC32257409 035 $a(Au-PeEL)EBL32257409 035 $a(CKB)40158932100041 035 $a(DE-He213)978-3-031-93257-1 035 $a(OCoLC)1534189363 035 $a(EXLCZ)9940158932100041 100 $a20250810d2026 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aCollaborative Computing: Networking, Applications and Worksharing $e20th EAI International Conference, CollaborateCom 2024, Wuzhen, China, November 14?17, 2024, Proceedings, Part III /$fedited by Honghao Gao, Xinheng Wang 205 $a1st ed. 2026. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2026. 215 $a1 online resource (469 pages) 225 1 $aLecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering,$x1867-822X ;$v626 311 08$a3-031-93256-0 327 $aGraph neural networks & Recommendation systems -- Time-aware Recommendations with Motif-Enhanced Graph Learning -- Spatial-Temporal Graph Attention Networks Based on Novel Adjacency Matrix For Weather Forecasting -- Repository-Level Code Generation Method Enhanced by Context-Dependent Graph Retrieval -- DGSR: Dual-Graph Sequential Recommendation with Gated and Heterogeneous GNNs -- Disentanglement-enhanced User Representation via Domain-level Clusters for Cross-Domain Recommendation -- Adaptive Web API Recommendation via Matching Service Clusters and Mashup Requirement -- Multi-channel Heterogeneous Graph Transformer based Unsupervised Anomaly Detection Model for IoT Time Series -- CBR-FIF: A Novel Dynamic Graph Node Embedding Computation Framework -- KG-ASI: A Knowledge Graph Enhanced Model-based Retriever for Document Retrieval -- Federated Learning and application -- Free-rider Attack Based on Data-free Knowledge Distillation in Federated Learning -- Client-Oriented Energy Optimization in Clustered Federated Learning with Model Partition -- FedUDA: Towards a Novel Unfairness Distribution Attack against Federated Learning Models -- Mal-GAT: A Method to Enhance Malware Traffic Detection with Graph Attention Networks -- A Federated Learning Framework with Blockchain and Cache Pools for Unreliable Devices in a Cloud-Edge-End Environment -- Model Similarity based Clustering Federated Learning in Edge Computing -- A Privacy-Preserving Edge Caching Algorithm Based on Permissioned Blockchain and Federated Reinforcement Learning. 330 $aThe three-volume set LNICST 624, 625, 626 constitutes the refereed proceedings of the 20th EAI International Conference on Collaborative Computing: Networking, Applications and Worksharing, CollaborateCom 2024, held in Wuzhen, China, during November 14?17, 2024. The 62 full papers were carefully reviewed and selected from 173 submissions. They are categorized under the topical sections as follows: Edge computing & Task scheduling Deep Learning and application Blockchain applications Security and Privacy Protection Representation learning & Collaborative working Graph neural networks & Recommendation systems Federated Learning and application. 410 0$aLecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering,$x1867-822X ;$v626 606 $aComputer systems 606 $aInformation storage and retrieval systems 606 $aComputer networks 606 $aData protection 606 $aSoftware engineering 606 $aComputers, Special purpose 606 $aComputer System Implementation 606 $aInformation Storage and Retrieval 606 $aComputer Communication Networks 606 $aData and Information Security 606 $aSoftware Engineering 606 $aSpecial Purpose and Application-Based Systems 615 0$aComputer systems. 615 0$aInformation storage and retrieval systems. 615 0$aComputer networks. 615 0$aData protection. 615 0$aSoftware engineering. 615 0$aComputers, Special purpose. 615 14$aComputer System Implementation. 615 24$aInformation Storage and Retrieval. 615 24$aComputer Communication Networks. 615 24$aData and Information Security. 615 24$aSoftware Engineering. 615 24$aSpecial Purpose and Application-Based Systems. 676 $a004.2 700 $aGao$b Honghao$01369360 701 $aWang$b Xinheng$01861453 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911046555103321 996 $aCollaborative Computing: Networking, Applications and Worksharing$94467560 997 $aUNINA