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.

.- Service Dependability and Security in Distributed and Parallel Systems.
.- Rebel: A Cross-Chain Data Audit Scheme Based on Reputation Model to Defend Against Malicious Nodes.
.- PPCPP: A Practical Payment Channel Model with Privacy Protection.
.- Efficient Privacy-Preserving Facial Verification via Fully Homomorphic Encryption and Preprocessing.
.- LLM-BSCVM: LLM-Based Blockchain Smart Contract Vulnerability Management Framework.
.- Blockchain-Based Insurance Data Sharing Framework for Fraud Prevention in Zero Trust Environments.
.- Integrated Voronoi Diagram and Stay Point Detection for Trajectory Privacy Preservation in Edge Computing.
.- FLIDS-Mamba: Multi-Center Network Intrusion Detection Based on Federated Learning and Bidirectional State Space Model.
.- Enhancing Security in Embodied Intelligence: Attack Detection via Constraint Functions.
.- X-ECU: Unlocking in-Vehicle ECU Firmware Vulnerabilities for Exploitation.
.- Message Prediction Table: Enhancing Robustness Against Replay Attacks in CAN Networks.
.- DP-DPFL: Short Term Load Forecasting Based on Differential Privacy and Dynamic Personalized Federated Learning.
.- DAGLoc: End-to-End Troubleshooting Approach for Big Data Scheduling System.
.- A Comprehensive Review of Trust-Based Access Control: A Five-Dimensional Analysis and Emerging Trends in Multi-Technology Integration.
.- RBFUZZ: Network Protocol Fuzzing Guided by Rare Branch.
.- MH-GAT: A Buffer Overflow Vulnerability Detection Method via Cross-Graph Semantic Alignment.
.- MEML-KEM: A Memory-Efficient Implementation of ML-KEM for IoT Devices.
.- Conceptual Framework for Federated Reinforcement Learning in Network Defense.
.- A New vTPM Architecture with Strong Isolation for the Cloud.
.- Formalizing Blockchain-Based Communication for Tactical Data Link.
.- Observer-Based Event-Triggered Control for Switched Systems under DoS and Deception Attacks.
.- MHVD: Multigranularity Smart Contract Vulnerability Detection Using Reinforced Multiplex Heterogeneous Graph Convolutional Network.
.- HOFT: A New Fault-Tolerant Routing Algorithm for Network-on-Chip.
.- Network Architectures and Algorithms.
.- QoS-Sim: A Flexible Simulation Platform for Fine-Grained Data Center Network Monitoring.
.- Availability-Aware Service Function Chain Placement with VNFI Sharing: A Performance-Enhancement Deep Reinforcement Learning Approach.
.- B2-CTA: Deep Learning Model for Network Intrusion Detection.
.- Distributed Semantic Communication Network with Adaptive Channel Conditions and Transmission Rates Joint Source-Channel Coding.
.- Network Coding Based Energy-Efficient Opportunistic Routing Protocol in Low-Power and Lossy Networks.
.- IB-APC: InfiniBand-Ethernet Protocol Conversion for Scalable Long-Distance RDMA Communication.
.- TD3-Based Collaborative Computation Offloading and Trajectory Optimization in UAV-Assisted MEC Networks.
.- Resource Scheduling in Dynamic STAR-RIS-Enabled NOMA-ISCC Systems Based on Multi-Agent Deep Reinforcement Learning.
.- A Multipath Routing Optimization Algorithm Based on SDN and Reinforcement Learning for Computing First Networks.
.- DRL-Driven Adaptive Redundancy Control for Network Coding in FANETs: Balancing Reliability and Energy Efficiency.
.- A Multivariate Time Series Forecasting Framework Based on Multi-Scale Convolution and an Inverted Transformer with Differencing Mechanism.
.- In-Kernel CNN Inference for Edge Devices: An eBPF-Based Approach to Low-Latency and Resource-Efficient Processing.
.- Task Offloading in Dynamic Vehicular Networks Based on Deep Reinforcement Learning. 
.- Implementation and Performance Evaluation of TCP over QUIC Tunnels.
.- Load-Aware Offloading and Resource Allocation in SAGIN via LSTM-Enhanced Deep Reinforcement Learning.
.- AI Medical Topic Popularity Prediction Based on Improved BERTopic Topic Modeling with Multi-LSTM and ARIMA.
.- Internet of Things and Cyber-Physical-Social Computing.
.- GAN-Inspired Multi-Strategy Grey Wolf Optimizer for Coverage Optimization in Obstacle-Rich IoT Environments.
.- A Two-Stage Stackelberg Game Based Task Offloading Scheme for Internet of Vehicles.
.- The Cloud-Edge-Terminal Collaborative Distributed Semantic Communication for IoT.
.- DF-DETR: An Algorithm for Small Object Detection in UAV Aerial Images.
.- Baseline Generation Method for HIDS Data Based on Manifold Learning.
.- UAV-Assisted Vehicular Edge Offloading and Scheduling Optimization via DRL and HA.
.- Delay-Aware Task Offloading Strategy for Vehicular Fog Computing Based on Q-Learning.
.- Managing Information Update with Edge Computing: A Deep Reinforcement Learning Approach.
.- Multi-Task Low-Level Vision Network for FPGA Deployment: SL-SYENet Joint Optimization Framework.
.- A Learning-Based Hyperspectral Image Compression Method Integrating Frequency-Domain Modeling and State Space Mechanism.
.- Multi-AUVs-Human Collaborative Search and Rescue Scheme Based on Large Language Models and Deep Reinforcement Learning.
.- Streaming Weighing of Powdered Materials via Multimodal Fusion of Vibration, Optical Velocity, and Weight Signals.
.- An IoT-Based Distributed Smart Warehousing System with Intelligent Scheduling and 5G-Driven Low Latency.