Algorithms and Architectures for Parallel Processing
Description
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.
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Content
.- Parallel and Distributed Architectures
.- Blockchain-Based Federated Learning-Enabled Adaptive Model Compression Scheme for Low-Latency Communications among Resource-Constrained Devices.
.- FPGA-Based Hybrid GCN-Transformer Accelerator for 3D Pose Estimation.
.- FedBC: Using Localization Mechanism to Alleviate Non-IID Feature Shift in Federated Learning.
.- FPGA-Optimized Parallel SM4 Accelerator: A Reconfigurable Hardware-Software Co-Design Framework.
.- Monosulfide: A Sharded PoW Blockchain System with Secure Adaptive Mining Power Allocation.
.- RF-PBFT: A Dynamic Consensus Algorithm Based on Reputation Partitioned Clusters.
.- IoT Anomaly Detection Based on Grassmann Manifold Federated PCA.
.- pBeeGees: A Prudent Approach to Certificate-Decoupled BFT Consensus.
.- Low-Cost Approximate Floating-Point Multiplier Design Based on SSA and Sparse Processing.
.- Software Systems and Programming Models.
.- Pre-Tiering Matters: Proactive CXL Memory Tiering for Ephemeral Serverless Functions.
.- Domainsgraph: A Type-Safe, Incremental Task Graph Programming Framework.
.- Data Replica Placement Approach in Scientific Cloud Applications.
.- Exploring the Capability of LLMs for Vulnerability Knowledge Management.
.- Parallel and Distributed Algorithms and Applications.
.- Optimizing Large-Scale Pollutant Transport Simulations: A GPU-Based SPH Framework.
.- EnvCluster-FL: An Environment-Aware Clustering Federated Learning Framework.
.- HEMPF: Efficient High-Resolution Multimodal Inference on Heterogeneous Edges via Perception-driven Segmentation and Dynamic Offloading.
.- An Integrated Topology-Aware Mapping Scheme for Large-Scale CFD Applications on the ORISE Supercomputer.
.- DeepFill: Accelerating MLLM Training by Filling Bubbles with Frozen Encoders.
.- Adaptive Heterogeneous PUs Scheduling for Layer-Wise DNN Acceleration.
.- FBChain: A Blockchain-based Federated Learning Model with Communication Efficiency Consensus Algorithm.
.- PFedDyFilter: Personalized Federated Learning via Dynamic Filters.
.- Addressing Multi-UAV Task Allocation in Dynamic Scenarios Using a Reinforcement Learning-Driven Graph Neural Network and Attention Mechanism.
.- Hierarchical Dependency-Aware Scheduling for Distributed Stream Computing Systems.
.- Kubernetes Scheduling Algorithm Based on an Improved Ant Colony Optimization Algorithm.
.- Adaptive Budget-Constrained Resource Provisioning for Workflow Scheduling in IaaS Clouds.
.- High-Performance Virtual Machine Placement Strategy for Dynamic Update Environments.
.- Neural Network-Enhanced Monte Carlo Tree Search for Adaptive Resource Scheduling in Heterogeneous Spark Environments.
.- BUCAS: Budget Constrained Application Scheduling in IaaS Clouds.
.- Anomaly Detection Method for Photovoltaic Power Generation Data Based on IAT.
.- Cache-Assisted Task Offloading for Cloud-Edge-UAV Inspection Systems.
.- MCO-DFL: Multiple Devices Collaborative Optimization for Distributed Federated Learning Based on Cyber Threat Detection Models.
.- Efficient Aggregation Based on Straggling Communication in Federated Learning.
.- Research on Dynamic Properties Evolution Algorithm of Polymer Nanomaterials Based on Heterogeneous Computing Platform.
.- GPBFT: A Dynamic Reputation and Group-Optimized PBFT for Scalable Consortium Blockchains.
.- Fake News Detection Model Based on Entity Dependency Reduction Strategy.
.- Improving the Energy Efficiency of AI Clusters through Variability-Aware Frequency Scaling and Task Allocation.
.- PSCA: A FPGA-Based Protein Structure Comparison Accelerator with Symmetric Simplified Matrix.
.- Distributed Multi-Agent Coordination for Energy-Efficient UAV Systems: A Parallel Optimization Approach.
.- A Digital Twin-Based Multi-Agent Reinforcement Learning Framework for Vehicle-to-Grid Coordination.
.- Adaptive Data Prefetching for Real-Time Analytics: A Deep Reinforcement Learning Approach.
.- CADA: A Confidence-Aware Dual-Aspect Fusion Network for Multimodal Sentiment Analysis.
.- Big Data Management and Analysis.
.- CMS-YOLO: A Lightweight Multi-State Object Detection Model for Rosa Davurica Pall.
.- WindowView: A Stream Processing Engine for Big-Data Analytics.
.- A Probability Interval Prediction Method for PV Power Based on PInformer-HKDE.
.- A Trustworthy Attribute-Based Searchable Data Sharing Scheme for Cloud-Edge-End Environments.
.- ChipDRAG: Dynamic RAG for Chip Placement.
.- SyndiBERT: Uncovering Money Laundering Syndicates on Ethereum via Dynamic Fusion of Behavioral and Path Features.
.- Performance Modeling and Evaluation.
.- An Embedded Processor Debugging Model Based on Observability and Controllability.
.- AKD: An Asymmetric Knowledge Distillation Algorithm for Time Series Models in Cloud Service Performance Monitoring.
.- HManyCore-Sim: Heterogeneous Simulator for Deeply Fused Many-Core Processor.
.- Fault Tree Abductive Methodology for Accident Causation Analysis.
.- THCPN-Driven Automated Modeling Framework for Urban Road Networks.
.- An Empirical Study on Precompilation as an Ops-Oriented Micro-Optimisation Strategy for Microservice-Based Applications.