UID:
almahu_9949930938902882
Umfang:
XIV, 546 p. 215 illus., 196 illus. in color.
,
online resource.
Ausgabe:
1st ed. 2025.
ISBN:
9783031714672
Serie:
Lecture Notes in Computer Science, 14998
Inhalt:
The three-volume proceedings set LNCS 14997-14999 constitutes the refereed proceedings of the 18th International Conference on Wireless Algorithms, Systems, and Applications, WASA 2024, held in Qindao, China, during June 21-23, 2024. The 98 full papers and 10 short papers included in these proceedings were carefully reviewed and selected from 301 submissions. They focus on cutting-edge ideas, research findings, and innovative solutions in the dynamic intersection of wireless technologies and artificial intelligence (AI) computing systems.
Anmerkung:
-- FedMQ: Multi-grained Quantization for Heterogeneous Federated Learning. -- A Secure and Efficient Privacy Data Aggregation Mechanism. -- A Lightweight Method to Survey with Protecting Privacy yet Maintaining Accuracy. -- A Method for Abnormal Detection and Poisoned Data Recovery in Clustered Federated Learning. -- FedDAGC: Dynamic Adaptive Graph Coarsening for Federated Learning on Non-IID Graphs. -- Defending Against Poisoning Attacks in Federated Prototype Learning on Non-IID Data. -- Federated Learning for Edge Heterogeneous Object Detection Algorithm. -- CoR-FHD: Communication-Efficient and Robust Federated Hyperdimensional Computing for Activity Recognition. -- Dynamic Staleness Control for Asynchronous Federated Learning in Decentralized Topology. -- Fair and Communication-Efficient Personalized Federated Learning. -- Distributed & Personalized Federated Learning in Wireless Ad Hoc Networks. -- DS-TFP: A Distributed and Secure Traffic Flow Prediction Framework Based on Federated Graph Learning. -- Federated Dynamic Graph Fusion Framework for Remaining Useful Life Prediction. -- FEAttack: A Fast and Efficient Hard-Label Textual Attack Framework. -- Pleno-Sense: An Adaptive Switching Algorithm towards Robust Respiration Monitoring Across Diverse Motion Scenarios. -- Inter-Technology Backscatter Communication: A Bidirectional Zigbee-BLE System. -- Distributed Dynamic Virtual Network Embedding in Container Networks. -- Automatic Modulation Recognition Using Parallel Feature Extraction Architecture. -- A Message Routing Algorithm Based on the Importance of Node Social Relationships in Opportunistic Mobile Networks. -- Real-time Atmospheric Duct Height Prediction Framework Based on Spatio-temporal to Ensure Maritime Communication Security. -- An Extra Diagnosis Algorithm for Conditional Recursive Match Networks under the PMC Model. -- Personalized mmWave Signal Synthesis for Human Sensing. -- Remorabook: Privacy-Preserving Mobile Social Networking Based on Remora Computing. -- DSBA: Dynamic Sharded Blockchain Architecture for Industrial Emergency Data Sharing. -- A Novel Merging Framework for Homogeneous and Heterogeneous Blockchain Systems. -- Active Defense Simulation Evaluation of Industrial Control Systems Based on Attack-Defense Graph. -- Hybrid Heterogeneous Wireless Chargers Placement. -- An Efficient Fault-tolerant Communication Scheme in 3-ary n-cube Networks. -- 3D Physical Layer Secure Transmission for UAV-assisted Mobile Communications without Locations of Eavesdroppers. -- Adaptive Self-healing Routing for Heterogeneous Ambient Backscatter Wireless Sensor Networks. -- Joint Optimization of Maximum Achievable Rate in SWIPT Systems Assisted by Active STAR-RIS. -- Anonymity on Byzantine-Resilient Decentralized Computing. -- A DRL-Based Edge Intelligent Servo Control with Semi-Closed-Loop Feedbacks in Industrial IoT. -- Anomaly Detection under Normality-Shifted IoT Scenario: Filter, Detection, and Adaption. -- DevDet: Detecting IoT Device Impersonation Attacks via Traffic Based Identification. -- Multiscale Adversarial Domain Adaptation Approach for Cloud-Edge Collaborative Fault Diagnosis of Industrial Equipment. -- Detection and Localization of Malicious Nodes in Internet of Things Based on SDN. -- Enhancing Scalability: A Complete Tree Sharding Architecture towards IoT. -- A Cloud-Edge Integrated Water Body Extraction Using Superpixel Segmentation. -- Layer-Aware Microservice Deployment for Edge Computing with Service Reliability Provisioning. -- FusionFlow: Neural Fusion and Compression for Communication Efficient Edge-Cloud Collaborative Computing. -- Toward Low Overhead and Real-time Multi-vehicle Collaborative Perception via V2V Communication.
In:
Springer Nature eBook
Weitere Ausg.:
Printed edition: ISBN 9783031714665
Weitere Ausg.:
Printed edition: ISBN 9783031714689
Sprache:
Englisch
DOI:
10.1007/978-3-031-71467-2
URL:
https://doi.org/10.1007/978-3-031-71467-2
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