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Author:   Tianqing Zhu ,  Wanlei Zhou ,  Congcong Zhu
Publisher:   Springer Verlag, Singapore
Imprint:   Springer Verlag, Singapore
ISBN:  

9789819530519

ISBN 10:   9819530512
Pages:   457
Publication Date:   18 November 2025
Audience:   College/higher education ,  Postgraduate, Research & Scholarly
Format:   Paperback
Publisher's Status:   Active
Availability:   Not yet available  
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Table of Contents

 .- Noise-Resistant Federated Open Set Recognition. .- Graph Representation-aware Online Aggregations over Knowledge Graph. .- LWMUNet: Enhancing Semantic Segmentation with Learnable Linked Sliding-Window Serialization. .- A Trusted Federated Learning Scheme for Distributed GAN Model Training. .- Multimodal Sentiment Analysis with Modality-Robust and -Biased Representations and Distance-aware Contrastive Learning. .- DeNoiseFood dataset with ECAMixDNet: an efficient denoising framework for complex textured food images. .- Leveraging Language Model and Knowledge Tracing for Personalized Question Generation. .- MFTP: Multi-round Feedback for Dynamic Travel Itinerary Optimization. .- GraphRAG-KM: An Automated Framework for Transforming Industrial Documents into Ontology and Conceptual Models. .- MPN: Leveraging Multilingual Patch Neuron for Cross-lingual Model Editing. .- AD^2-pFed: Personalized Federated Learning Based on Adaptive Bilateral Distillation with Diffusion Models. .- FATDyG: A Dynamic Network Link Prediction Framework for Time, Space, and Frequency Awareness. .- Resource Optimization for FPGA-based SM9 Digital Signature Algorithm. .- Enhancing Pruning Efficiency via Maximum Prunable Channel Selection in Tiny Object Detection. .- A Multimodal Fusion Framework employing Full-stage Attention for Survival Prediction. .- Differentially Private Graph Data Publishing via Feature-based Community Detection. .- Solving the Problem of Task Offloading in Heterogeneous Edge Computing Environments Using Deep Q-Networks and Attention Mechanisms. .- Ant Colony Sampling with Mixture of Experts for Combinatorial Optimization. .- MSCAN: Multi-Scale Context-Aware Network for Multivariate Long-Term Forecasting. .- PAformer: Transformer with Learnable Period Detection and Periodic Attention for Multivariate Time Series. .- ELS-GDR: Efficient Extraction of Long-Term Sequential Signals for Guiding Diffusion-Based Recommendation. .- EntiFA: Entity-based Fine-grained Adaptation for Knowledge Enhancement in Large Language Models. .- StressSentry-FHE: A Transformer-based Privacy-Preserving Framework for Stress Detection Using Quantized Attention. .- Dual Attention Transformer with Multi-scale Perception for Multivariate Time Series Forecasting. .- Uncertainty-Aware Prototype Semantic Decoupling for Text-Based Person Search in Full Images. .- Scale Margin Loss for Object Detection. .- Enhancing Fundus Image-based Glaucoma Screening via Dynamic Global-Local Feature Integration. .- BackdoorHunter: Poisoned Training Data Removal via Contrastive Responses under Pruned Models. .- Can LLMs Assist Computer Education? an Empirical Case Study of DeepSeek. .- Privacy-Preserving Federated Learning via Homomorphic Adversarial Networks. .- SoMORE: Social Context-aware MLLM for Video Character Search. .- A Multimodal Feature Fusion Method for Analyzing Children's Interests. .- Seaformer: An Adaptive forecasting Framework for Multi-source Heterogeneous Ocean Observation Data. .- Hybrid Kolmogorov-Arnold and Graph Attention Networks for Gold Price Forecasting under Uncertainty.

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