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Link zu diesem Datensatz | https://d-nb.info/1361677414 |
Art des Inhalts | Konferenzschrift |
Titel | Network and Parallel Computing : 20th IFIP WG 10.3 International Conference, NPC 2024, Haikou, China, December 7–8, 2024, Proceedings, Part II / edited by Xu Chen, Geyong Min, Deke Guo, Xia Xie, Lingjun Pu |
Person(en) |
Chen, Xu (Herausgeber) Min, Geyong (Herausgeber) Guo, Deke (Herausgeber) Xie, Xia (Herausgeber) Pu, Lingjun (Herausgeber) |
Organisation(en) | SpringerLink (Online service) (Sonstige) |
Ausgabe | 1st ed. 2025 |
Verlag | Singapore : Springer Nature Singapore, Imprint: Springer |
Zeitliche Einordnung | Erscheinungsdatum: 2025 |
Umfang/Format | Online-Ressource, XX, 509 p. 212 illus., 202 illus. in color. : online resource. |
Andere Ausgabe(n) |
Printed edition:: ISBN: 978-981-9628-63-6 Printed edition:: ISBN: 978-981-9628-65-0 |
Inhalt | -- Edge Computing and Intelligence. -- A Fair Cooperation Strategy in the Edge-Edge Collaboration Scenario. -- Joint Optimization of Transmission and Computation for Multi-Source MEC System Based on Deep Reinforcement Learning. -- MARL-Based Joint Optimization of Service Migration and Resource Allocation in MEC. -- NBS-Based Mobile Edge Computing: A Joint Optimization of QoS and Energy in Computation Offloading. -- Optimizing Resource Allocation in the Internet of Vehicles: An Intelligent Vehicle-Edge-Cloud Collaboration Approach. -- Proactive Intellectual Property Protection for Edge AI Models. -- SC-TSDRL: A Cloud-Edge Collaboration Framework for Diffusion Model Inference Acceleration. -- Vickrey Auction Offloading for Edge-Assisted Video Analytics with Dynamic Gain Prediction. -- Federated Learning Algorithms and Systems. -- An Efficient Federated Meta Unlearning Algorithm with Enhanced Privacy Protection. -- Balanced Federated Learning with Two-stage Client Selection for Internet of Vehicles. -- Efficient Federated Learning with Cost-Adjustable Generative AI over Heterogeneous Edge Devices. -- FedDeSnowNet: Federated De-snowing Network for LiDAR Point Clouds. -- Federal Knowledge Graph Embedding Based on Incentive Mechanism. -- FedZipper: A Layer-wise Quantization Compression Framework for Federated Learning with Statistical Heterogeneity. -- Heterogeneous Federated Learning with Controlled Gradient Variate of Client Momentum. -- No Fear of Domain Discrepancy: One-Shot Federated Learning via Class-Aware Distillation. -- Trustworthy and Incentivized Federated Learning Based on Blockchain. -- Emerging Networks. -- A Satellite-Ground Link Handover Strategy in LEO Networks using Advantage Actor-Critic Algorithm. -- A Utility-Adjustable Reverse Auction Mechanism for UAV Data Collection Task Allocation. -- Adaptive Switching of Lightweight and Complex DNNs for Air-Ground Collaborative Intelligence. -- ADMM for Energy-efficient Computation Offloading in Marine Mobile Edge Computing Networks. -- Analytical Route Discovery Time Estimation for UAV Networks. -- Cross-Layer Intrusion Detection in UWSNs Using an Optimized CNN-LSTM Model. -- Efficient Task Offloading in MEC via UAV-UGV Collaboration. -- SUCP Analysis for Region-Centric UAV-Assisted MEC Networks. -- Task Offloading Optimization in Multi-layer LEO Satellite-Terrestrial Integrated Networks with Hybrid Cloud and Edge Computing. -- In-network Computing and Processing. -- 2FA Sketch: Two-Factor Armor Sketch for Accurate and Efficient Heavy Hitter Detection in Data Streams. -- A Large-Scale Study of Abnormal Recursive DNS. -- Adaptive Gradient Data Partition and Route Selection for Distributed DNN Training. -- DeepSight: In-network packet loss management for TCP applications in datacenter networks. -- DTN Routing Algorithm Based on Social Center and Classifier. -- E2E-AutoPT: an end-to-end automated penetration testing with LSTM-PPO approach. -- EAMTI: A Novel Method Toward Early and Accurate Malicious Traffic Identification. -- Gradient-aware Incremental Network Quantization. -- Providing Fine-grained Latency Control for Time Sensitive Networking: A Reordering Method. -- rpkt: A Generic, Safe, and Efficient Userspace Packet Processing Library in Rust. -- RuleAlchemy: Bidirectional Conflict-Aware Rule Aggregation for Crossed Probing Paths in SDN. -- RVCC: Congestion Control to Reduce Victim Flows in Data Center Networks. -- TAB: Traffic-aware Buffer Management on Programmable Switches |
Persistent Identifier |
URN: urn:nbn:de:101:1-2503290312178.365172031998 DOI: 10.1007/978-981-96-2864-3 |
URL | https://doi.org/10.1007/978-981-96-2864-3 |
ISBN/Einband/Preis | 978-981-96-2864-3 |
Sprache(n) | Englisch (eng) |
Beziehungen | Lecture Notes in Computer Science ; 15528 |
DDC-Notation | 004.3 (maschinell ermittelte DDC-Kurznotation) |
Sachgruppe(n) | 004 Informatik |
Online-Zugriff | Archivobjekt öffnen |
