Vor Ort
Merkzettel Warenkorb
  • Produktbild: Network and Parallel Computing
  • Produktbild: Network and Parallel Computing
Band 15528 - 17%

Network and Parallel Computing 20th IFIP WG 10.3 International Conference, NPC 2024, Haikou, China, December 7–8, 2024, Proceedings, Part II

Aus der Reihe Lecture Notes in Computer Science
17% sparen

72,99 € UVP 87,99 €

inkl. gesetzl. MwSt., Versandkostenfrei

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

29.03.2025

Abbildungen

XX, 509 p. 212 illus., 202 illus. in color.

Herausgeber

Xu Chen + weitere

Verlag

Springer Singapore

Seitenzahl

509

Maße (L/B/H)

23,5/15,5/2,9 cm

Gewicht

797 g

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-981-9628-63-6

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

29.03.2025

Abbildungen

XX, 509 p. 212 illus., 202 illus. in color.

Herausgeber

Verlag

Springer Singapore

Seitenzahl

509

Maße (L/B/H)

23,5/15,5/2,9 cm

Gewicht

797 g

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-981-9628-63-6

Herstelleradresse

Springer-Verlag GmbH
Tiergartenstr. 17
69121 Heidelberg
DE

Email: ProductSafety@springernature.com

Noch keine Bewertungen vorhanden

Verfassen Sie die erste Bewertung zu diesem Artikel

Helfen Sie anderen Kundinnen und Kunden durch Ihre Meinung.

Kundinnen und Kunden meinen

Bewertungen (0)
  • Produktbild: Network and Parallel Computing
  • Produktbild: Network and Parallel Computing

  • .- 
    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.