Networking Systems of AI
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.
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Content
.- 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.