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.
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. Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
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Inhaltsangabe
.- 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.
.- 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.
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