The eight volume set, LNCS 16381-16388 constitutes the refereed proceedings of the 25th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2025, held in Zhengzhou, China, during October 30 -November 2, 2025.

The 158 full papers, 104 research papers and 48 session papers included in these proceedings were carefully reviewed and selected from 543 submissions. They focus on the following topical sections:

Part I : Parallel and Distributed Architectures; Software Systems and Programming Models.

Part II : Parallel and Distributed Algorithms and Applications.

Part III : Parallel and Distributed Algorithms and Applications; Internet of Things and Cyber-Physical-Social Computing; Performance Modeling and Evaluation.

Part IV : Service Dependability and Security in Distributed and Parallel Systems; Network Architectures and Algorithms.

Part V: Network Architectures and Algorithms.

Part VI: Parallel and Distributed Architectures; Software Systems and Programming Models; Parallel and Distributed Algorithms and Applications; Big Data Management and Analysis; Performance Modeling and Evaluation.

Part VII: Service Dependability and Security in Distributed and Parallel Systems; Network Architectures and Algorithms; Internet of Things and Cyber-Physical-Social Computing.

Part VIII: Intelligent Distributed Computing; Resource Coordination and Joint Optimization in Cloud-Edge-End Systems; Symbiotic AI and Data Ecosystems; Smart Education Powered by Parallel and Distributed Processing; AI for Networks and Networking for AI; Emerging Network Technologies in Computing and Networking Convergence.

.- Intelligent Distributed Computing.
.- FbsPipe: Forward-Backward Separation Pipeline Parallelism Method for Deep Learn-ing.
.- Dynamic Ring Signature: Towards Provable Anonymity in Blockchain-Based E-Vot-ing.
.- Federated Learning with Dual-View Feature Fusion and Composite Aggregation.
.- DP-DTG: Dynamic Gradient Updating-Based Differentially Privacy Preservation Mechanism for Distributed Services.
.- FedDDS: A Federated Learning Optimization Method with Data Augmentation Based on Data Distribution Similarity.
.- Intelligent Train Vehicle Profiling via Data Mining and Tagging of Distributed Heter-ogeneous Data.
.- DP-GNN-P: Graph Partitioning-Based Differential Privacy Preservation Mechanism for Service-Oriented Distributed Graph Neural Network Computing.
.- Overview of the Evolution and Cutting-Edge Practices of Distributed Cloud Storage Database Technology.
.- DTSHS: A Distributed Training Task Scheduler for Heterogeneous Swarms.
.- ID3ATT: An Improved TD3 Approach for Active Target Tracking with Comprehen-sive Visual Information Acquisition.
.- Adaptive Parallel Search for Multi-Query Tenuous Groups on Social Networks.
.- Fabric Pro: Transaction Lifecycle Optimization for Hyperledger Fabric.
.- A Blockchain-Based Solution for Multi-Stage Spatiotemporal Crowdsourcing.
.- Resource Coordination and Joint Optimization in Cloud-Edge-End Systems.
.- Cloud-Edge-End Coordinated Meta-Reinforcement Learning for Adaptive Resource Allocation in Intelligent Transportation Systems.
.- LLM4Rec-LIGHTNING: High-Throughput Training System for LLM4Rec on Memory-Constrained GPUs.
.- Enhancing RAPTOR in RAG Systems: Semantic Segmentation for Improved Initial Chunking.
.- Evolutionary Network Search with Adaptive Fusion for Gesture Recognition.
.- A Hierarchical Optimization Framework for Pareto-Optimal Edge Server Deployment Balancing Latency, Load, and Energy Consumption.
.- Symbiotic AI and Data Ecosystems.
.- Multi-Agent System Architectures Comparison: A Use Case in Telecom Customer Ser-vice.
.- Acceleration Method of Distributed Multimodal Learning Tasks in Cloud Virtualiza-tion Environment.
.- Human-Aligned Data Quality Assessment via Prompt and Scorer Co-Optimization.
.- Multi-Dimensional Prompt Expansion: Black-Box DoS Attacks on Multi-Agent LLMs.
.- Towards Digital Biomarkers: Browser-Based Facial Dynamics Analysis for Dementia Subtype Diagnosis.
.- Smart Education Powered by Parallel and Distributed Processing.
.- The Effects of Perceived Usefulness, AI Self-Efficacy, and AI Interaction Positivity on the Continuance Intention of Generative Artificial Intelligence in Education.
.- Determinants of College Students' Continuance Intention Toward Generative AI Team-mates: An Integrated Expectation-Confirmation and Shared Mental Model Approach.
.- A Review of Advances in Textual Emotion Cause Analysis.
.- Enhancing Creativity Through 3D Technology in STEAM Education: Insights from a Meta-Analysis.
.- Understanding the Influencing Mechanism of GAI Dependence Among College Stu-dents: Perspective from I-PACE Model.
.- AI-Supported Educational Interventions for Enhancing Computational Thinking: A Meta-Analysis.
.- How Does Content Type Influence Acceptance? A Study on Student Acceptance of AI-Generated Science Popularization Short Videos Based on the TAM Model.
.- How Core Personal Traits Drive Short Video Dependence: A Serial Mediation Analysis Through FoMO and Self-Efficacy in the I-PACE Model.
.- How Adaptive Gamification in AI Environments Enhances STEM Learning Outcomes: A TAM-CoI Integrated Comparison with Fixed Scaffolding.
.- Synthesizing the Effects of AI-Driven Adaptive Learning Platforms on Students' Aca-demic Achievement: A Meta-Analysis.
.- AI for Networks and Networking for AI.
.- FALI: Fusion Adapter for Multiple LoRA Models Inference.
.- DCT-Sketch: Memory-Efficient Detection of Multi-Dimensional Top-K Flows in High-Speed Networks.
.- An Improved GAN-Based Attack Sample Generation Method for High-Speed EMU Communication Networks.
.- An Attribute-Sensitive Data Protection Method for UAV Based on FPE.
.- An Adaptive Watermark Embedding Method for Multi-Modal Data in Power Systems.
.- An Innovative Model for Solving the Identical Shortcut Problem in Anomaly Detection of AIOps.
.- SMAR: Short-Flow Multi-Path Adaptive Routing for Heterogeneous RDMA Work-loads.
.- HaLB: Heterogeneous Traffic-Aware Load Balancing for Minimizing Deadline Misses in AI-Centric Datacenter Networks.
.- Towards Efficient Multi-Path Transport with Robust Reordering in RDMA Datacenter Networks.
.- Hierarchical-Caching-Driven Distributed Architecture for Accelerating Model Train-ing.
.- VRI-PW: A Part-Whole Method for Maritime Vessel Re-Identification.
.- Enhancing Equity: A Switch-Assisted Strategy for Improving Fairness in RDMA Net-works.
.- Emerging Network Technologies in Computing and Networking Convergence.
.- Research on MPQUIC Simulation Technology in NS-3 Wireless Network.
.- Automatic Generation and Optimization of Instructional Designs Through Multi-Stage Multi-Agent Collaboration.
.- Lane Line Detection Based on Micro Intelligent Vehicle Simulation Platform.