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Full Description
This book constitutes the refereed proceedings of the 5th International Conference on Networking Systems of AI, INSAI 2025, which took place in Shenzhen, China, during November 15-17, 2025.
The 20 full papers and 2 short papers included in this book were carefully reviewed and selected from 52 submissions. They are organized into the following topical sections: Deep learning and AI method; Communication and Edge Computing; Behavior Modeling and Social Computing; Virtual Reality and Intelligent Application.
Contents
.- Deep learning and AI method.
.- TPS: Trust-Aware Pruning for Byzantine Robustness Federated Learning in Real-Time Edge Systems.
.- Adaptive Illumination Recovery for Backlit Images: Leveraging U-Retinex-Net and Iterative Prompt Learning.
.- Hierarchical Adaptive Transmission for Point Cloud Video Streaming based on Rein-forcement Learning.
.- DFST: Dual-Stream Frequency-Spatial Transformer for Robust Deepfake Detection.
.- Split Learning with MobileViT: A Performance Evaluation of Communication and Inference.
.- Unleashing the Potential of Transformers: An Efficient Inference Framework with Split Learning.
.- Communication and Edge Computing.
.- CSI-Free Holographic Beamforming Enabled by Recordable and Reconfigurable Metasurface.
.- COSMOS: A Distributed Multi-Granularity Recognition Framework for Earth Obser-vation Applications in Satellite Edge Computing Networks.
.- Bayesian Near-Field Multiuser Tracking via Non-Stationarity Reconfigurable Intelli-gent Surface.
.- DHRA: DQN based Deterministic Heterogeneous Resource Allocation for Multi-User Holographic Conferencing.
.- A Docker Container-based Dynamic Allocation System for Computational Re-sources.
.- CmpV2X: Enabling Communication-efficient and Robust Cooperative Perception for Internet-of-Vehicles.
.- EATSA: An MPTCP Scheduling Algorithm Based on Expected Arrival Time and Its Application in Bandwidth Compensation.
.- Supporting Dependent Task at Edge: A Computation-communication-cache Inte-grated Service Architecture.
.- Behavior Modeling and Social Computing.
.- OEL-AD: An Online Evolutive Learning Framework for Cross-Region Adaptive Au-tonomous Driving.
.- An Online Evolutive Framework for Cross-Subject EEG Emotion Recognition.
.- Intelligent Prediction Model for Key Group Propagation Based on Community Parti-tion and Multiple Influences.
.- Identify Neural areas for Bilingual by interpreting EEG-based deep learning models.
.- Virtual Reality and Intelligent Application.
.- Performance Analysis and Modeling of Monitoring Systems for Sustainable Agricul-ture.
.- Design and Research of Multiuser and Multimodal Virtual Fitness Equipment Based on VR.
