Buch, Englisch, 700 Seiten, Format (B × H): 155 mm x 235 mm
20th International Conference, WASA 2026, Xi'an, China, June 26–29, 2026, Proceedings, Part I
Buch, Englisch, 700 Seiten, Format (B × H): 155 mm x 235 mm
Reihe: Lecture Notes in Computer Science
ISBN: 978-981-9293-13-1
Verlag: Springer
This three-volume set LNCS 16871–16873 constitutes the refereed proceedings of the 20th International Conference on Wireless Artificial Intelligent Computing Systems and Applications, WASA 2026, which took place in Xi'an, China, during June 26–29, 2026.
The 140 full papers included in these books were carefully reviewed and selected from 502 submissions. They were organized as Part I, II and III. They focus on Network Algorithms, Network Protocols, Network Performance Evaluation, Network Services, Network Security, Network Architectures, Systems Security, Artificial Intelligence, Machine Learning, Distributed Computing Methodologies.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik EDV & Informatik Allgemein
- Mathematik | Informatik EDV | Informatik Technische Informatik Netzwerk-Hardware
- Mathematik | Informatik EDV | Informatik Angewandte Informatik
- Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik Drahtlostechnologie
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
Weitere Infos & Material
.- LyDW: A DRL-Driven Computation Offloading Approach in Wireless Powered Net-works.
.- Maintenance-Aware Many-Objective Optimization in Uncertain Edge Computing Environments.
.- BIDIF: A Biologically Inspired Dynamic Intrusion Framework for Zero-Day Attacks in Streaming Environments.
.- Enhancing RDMA Congestion Control with Multipath Traffic Steering.
.- Multi-timescale Feature Extraction and Edge-Conditioned Message Propagation for Anomaly Detection in Industrial Multivariate Time Series Data.
.- Distributed PAC Learning from Quantum Data with Efficient Communication.
.- Rate-Distortion Function for Encrypted Traffic Side-Channel Defense.
.- A New GPT-Based Model for Cross-Scenario Anomalous Data Detection in Wireless Networks.
.- Evisymbol: Evidence-Fusion Symbolization for Static Binary Rewriting.
.- Game-Theoretic DRL for AoI Minimization in UAV-Assisted IIoT Networks.
.- ENGCVAE: A Weight-Enhanced Graph Representation Model for Molecular Generation.
.- Dual-Criteria Fusion and Prototype-Driven Update for IIoT Open-Set Intrusion Detaction.
.- FPSLoRA: Federated Fine-Tuning of LLMs with Dynamic Proximal LoRA and Simi-larity-Aware Aggregation in MEC Networks.
.- Cost-Efficient Client Selection for Federated Learning via Lyapunov Optimization in Mobile Edge Computing Networks.
.- TraceRight: Blockchain-enabled Data Ownership and On-Demand Traceability Framework for the Internet of Vehicles.
.- Lightweight Proactive Fault Diagnosis for Reliable Cloud Environments Based on Raft and Reinforcement Learning.
.- An Active Causal Inference Framework for Robust Multimodal Fusion with Missing Modalities.
.- LEO-TBEMTD: Transformer-Based Pre-training for Encrypted Malicious Traffic Detection in LEO Satellite Networks.
.- ParaGuard: Parallelizable Encrypted Malicious Traffic Identification with Dynamic Relationship Awareness for Wireless Networks.
.- DPV-HNet: An Efficient Data-Path Validation Scheme for Hierarchical Networks.
.- Knowledge-Enhanced Named Entity Recognition for Security Intelligence.
.- DyST-Flow: Malicious Transaction Traffic Detection in Blockchain Networks via Joint Static-Dynamic Topology Learning.
.- MMPattern: mmWave-Based Pattern Lock Recovery via Constrained Sequence Decoding.
.- Task-Adaptive Resource Scheduling in Semantic IoV via Feature-Gated Reinforcement Learning.
.- Wireless Interference Recognition with Limited Data via Utilizing Diffusion Model.
.- Bridging Semantics and Signals: An LLM-Driven MoE Framework for Radio Map Prediction.
.- Toward Zero-Damage Unlearning: Protecting Model Utility via Dynamic Null-Space Projection in FL.
.- MSAMNet: Multi-granularity Semantic Adaptive Mining Network for Person Re-identification.
.- DSTFView: Multi-View Cloud-Edge Workload Forecasting with Dual-Input Spatio-Temporal-Frequency Modeling.
.- Reliability Evaluation of a Novel Data Center Network.
.- LASER: Load-Aware Serving with Early-Exit for Reasoning LLMs at the Edge.
.- PRAAM: Private Wireless Resource Auction via Asynchronous MPC.
.- Resource Scaling in Edge Computing with Crowdsourced Mobile Devices: A State Graph-Based Approach.
.- LE-GNN: Label-Enhanced Graph Neural Network for Network Traffic Classification.
.- Budget-Aware Offloading and Resource Allocation in Cloud-Edge-End Architectures with Layered Information-Sharing.
.- Secure Device-to-Device Communications in Open Multi-Agent Networks.
.- FedDDG: Federated Dual Domain Generalization via Pre-trained Models and Hyper-networks.
.- Robust Federated Learning for Unreliable UAV Swarms with Error Feedback and Momentum Compensation.
.- Semantic-Aligned Multi-Agent Reinforcement Learning for Air-Ground Spatial Crowdsourcing.
.- A Game-Theoretical Robust Data Backup Scheme for UAV Swarms Under Cross-Region Attacks.
.- CuttleSwap: Anonymous Atomic Cross-Chain Swaps with Success Guarantee.
.- PRIDE: Progressive Diffusion-Based Adversarial Makeup for Face De-Identification.
.- Time-Frequency Collaborative Modeling for Crop Water Demand Forecasting in Smart Agriculture IoT.
.- Intent-Driven Secure Resource Allocation in Low-Altitude Networks: An LLM-Empowered Approach.
.- Synchronized Template-Aware Token Pruning for Edge-Oriented Industrial Anomaly Detection.
.- Twinkle: Consistent Low-latency Streaming in Wireless LANs with Cross-technology ACKing.
.- MZPD: Momentum-Driven Zeroth-Order Optimization for Private Distributed Learning.
.- Boundary-Wandering Learning: A Geometric Defense Against Label Inference At-tacks in Vertical Federated Learning.
.- Fevast: Variation-Based Sparse Training for Scalable Federated Full-Parameter Fine-Tuning of Large Language Models.
.- DAC-LLM: Disturbance-Aware Calibrated with Large Language Model for Urban Traffic Demand Forecasting.
.- Computation–Power Coordinated Green Workflow Scheduling in Distributed Edge Computing Power Networks.
.- Gateway Optimization Strategies for Heterogeneous CAN-MQTT Networks.
.- Adaptive Ensemble Reweighting for Transferable Adversarial Attacks with Diverse Inputs.
.- PERMAB-GNN: Graph-Structured Prioritized Reinforcement Learning for Resource Allocation in Multi-UAV-Assisted Ultra-Dense Networks.
.- A SCADA-Operation-Oriented Semantic Reverse Engineering Method for Industrial Control Protocols.
.- FALCON: Flow-Aware Lightweight Content-Adaptive Semantic Video Transmission for Resource-Constrained IoT Edge Surveillance.
.- RIS-assisted WiFi Imaging via Diffraction-Based Contour Reconstruction.
