LEADER 05937nam 22007335 450 001 9911047702703321 005 20250810130158.0 010 $a3-031-93251-X 024 7 $a10.1007/978-3-031-93251-9 035 $a(MiAaPQ)EBC32257400 035 $a(Au-PeEL)EBL32257400 035 $a(CKB)40158926400041 035 $a(DE-He213)978-3-031-93251-9 035 $a(OCoLC)1534197639 035 $a(EXLCZ)9940158926400041 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 $e20th EAI International Conference, CollaborateCom 2024, Wuzhen, China, November 14?17, 2024, Proceedings, Part I /$fedited by Honghao Gao, Xinheng Wang 205 $a1st ed. 2026. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2026. 215 $a1 online resource (700 pages) 225 1 $aLecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering,$x1867-822X ;$v624 311 08$a3-031-93250-1 327 $aEdge Computing & Task Scheduling -- Latency Energy aware Heterogeneous Resource Allocation and Task Scheduling in Industrial Cloud Edge Computing -- Backpressure-based Federated Learning Model Scheduling in Edge Computing -- Minimizing the Age of Knowledge in Application-oriented Mobile Edge Computing System with DRL-based Scheduling -- Dependency-Aware Task Offloading in Dynamic Network Environment with D2D Collaboration -- Delay Minimization for Downlink PD-NOMA Transmission with Index Coding in Cache-Aided Wireless Networks -- Fast Adaptive Caching Algorithm for Mobile Edge Networks Based on Meta-Reinforcement Learning -- Delay- and Cost-Aware Dynamic Service Migration in Collaborative Satellite Computing -- Towards Efficient Scheduling in Large Clusters Leveraging the Small-World Network Model -- A Dynamic Prioritization Task Offloading Strategy with Delay Constraints -- Task Scheduling Strategy among Multiple Local Mobile Clouds in Pervasive Edge Computing -- A Task Scheduling Strategy Based on Computing-Aware and Multi-Agent Collaborative Services in Pervasive Edge Computing -- Collaborative Vehicular Edge Cloud Computing Task Offloading Optimization Scheme Based on Deep Reinforcement Learning -- Deep Learning and Application -- NL-ATD: Spatio-Temporal Few-Shot Learning via Attention Transfer and Denoising Model -- A GCN-based DRL Approach for task migration and resource allocation in Heterogeneous Edge-Cloud Environments -- A Multi-Document Summarization Method for Customer Feedback Based on Large Language Models -- KaRe: Towards Flexible and Effective Machine Unlearning with Knowledge Alignment and Repair -- SWGCNN-BiLSTM: A Method for Detecting Unknown Attack Traffic within Imbalanced Samples -- Two-stage workflow scheduling based on deep reinforcement learning -- GRASP-SLAM: Gmapping-augmented DRL for Active SLAM using Policy gradient -- WiLDID:Low-Collaboration WiFi-Based Person Identification Via A Lightweight Deep Neural Network -- Dialogue Summarization by Integrating Structural Features and Improving Factual Consistency through Post-Editing -- TransAware: An Automatic Parallel Method for Deep Learning Model Training with Global Model Structure Awareness -- A Reliability Enhancement Scheme for Distributed Cloud Service Systems Based on Deep Reinforcement Learning -- Contrastive Learning-Based Finger-Vein Recognition Using Frequency-Mixup Augmentation and Time-Frequency Feature Fusion -- BACE-RUL: A Bi-directional Adversarial Network with Covariate Encoding for Machine Remaining Useful Life Prediction. 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,$x1867-822X ;$v624 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 $a9911047702703321 996 $aCollaborative Computing: Networking, Applications and Worksharing$94467560 997 $aUNINA