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Network and Parallel Computing: 20th IFIP WG 10.3 International Conference, NPC 2024, Haikou, China, December 78, 2024, Proceedings, Part II [Pehme köide]

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  • Formaat: Paperback / softback, 509 pages, kõrgus x laius: 235x155 mm, 202 Illustrations, color; 10 Illustrations, black and white; XX, 509 p. 212 illus., 202 illus. in color., 1 Paperback / softback
  • Sari: Lecture Notes in Computer Science 15528
  • Ilmumisaeg: 29-Mar-2025
  • Kirjastus: Springer Nature Switzerland AG
  • ISBN-10: 9819628636
  • ISBN-13: 9789819628636
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  • Formaat: Paperback / softback, 509 pages, kõrgus x laius: 235x155 mm, 202 Illustrations, color; 10 Illustrations, black and white; XX, 509 p. 212 illus., 202 illus. in color., 1 Paperback / softback
  • Sari: Lecture Notes in Computer Science 15528
  • Ilmumisaeg: 29-Mar-2025
  • Kirjastus: Springer Nature Switzerland AG
  • ISBN-10: 9819628636
  • ISBN-13: 9789819628636
This two part LNCS 15227 and 15528 volumes constitutes the proceedings of the 20th IFIP WG 10.3 International Conference on Network and Parallel Computing, NPC 2024, which was held in Haikou, China, during December 78, 2024.





The 76 full papers presented in this volume were carefully reviewed and selected from 200 submissions. They are organized according to the following topics: 





Part-I : High-performance and Parallel Computing; Novel Memory and Storage Systems; and Emerging Architectures and Systems.





Part-II : Edge Computing and Intelligence; Federated Learning Algorithms and Systems; Emerging Networks; and In-network Computing and Processing.
.- 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.