This book constitutes the refereed proceedings of the 25th International Conference on , PDCAT 2024, held in Hong Kong, China, during December 14–16, 2024.
The 47 full papers and 8 short papers included in this book were carefully reviewed and selected from 114 submissions. They focus on advances in parallel and distributed computing, including parallel architectures, algorithms, and programming techniques.
.- 25th International Conference on Parallel and Distributed Computing,
Applications and Technologies.
.- Decentralized Federated Learning with Knowledge Distillation for Image
Classification and Demand Forecasting in Industrial Chains.
.- Integrating Blockchain into Insurance Claim Management: Applications of
NFTs, Smart Contracts and IPFS.
.- A Meta-Reinforcement Learning Framework for Adaptive Quadrotor UAV
Attitude Control.
.- Securing Energy Transactions for Electric Vehicles: The Blockchain
Approach and Encrypted NFTs.
.- Optimizing Task Allocation in Heterogeneous Agent Manufacturing Systems.
.- MPG: Multi-Modal Personal Health Graph for Alzheimers Disease Diagnosis.
.- SMAC: A secure multi-authority access control scheme with attribute unifi
cation for Fog enabled IoT in e-health.
.- Convolutional Neural Networks Parameter Training for SCM Algorithm based
on Hausdorff Difference.
.- Handling Non-stationarity with Distribution Shifts and Data Dependency in
Time Series Forecasting.
.- The two-stage stochastic facility location game.
.- Regularized non-monotone $\gamma$-weakly submodular maximization.
.- Fed-MoE: Efficient Federated Learning for Mixture-of-Experts Models via
Empirical Pruning.
.- WaitIO-Hybrid: Communication for Coupling MPI Programs among Heterogeneous
Systems.
.- The Material Delivery Route Prediction Method Based on Deep Reinforcement
Learning.
.- Privacy-Preserving in Medical Image Analysis: A Review of Methods and
Applications.
.- Research on Task Migration Problem Based on Link Uncertainty in Adver
sarial Scenarios.
.- Optimizing Production Component Scheduling In Multivariate Industrial
Networks With Dynamic Changes In Production Costs.
.- Multi-Agent Collaboration for Time-Sensitive Tasks in Multiple Networked
Adversarial Scenarios.
.- Containerized Data-Flow Processing for Scalable Real-Time Analytics on
Edge Devices.
.- Fast Approximation for Scheduling Malleable Jobs on Parallel Batch
Machines with Rejection.
.- Real-Time and In-Situ Temperature Profiling for Determining Detonation of
White Dwarf Mergers.
.- accparser: A Standalone OpenACC Parser and its Usage on Mapping Ope nACC
to OpenMP Directives.
.- Out-of-Memory GPU Sorting using Asynchronous CUDA Streams.
.- Long-Term and Periodicity-Aware Spatio-Temporal Model for Traffic Flow
Prediction.
.- A new approximation algorithm for two-machine flow shop with transporter
coordinate.
.- Enhancing Federated Learning Robustness in Non-IID Data Environments via
MMD-Based Distribution Alignment.
.- Multi-scale Time-frequency Representation for Multi-component Radar Signal
Recognition.
.- An LP-based approximation algorithm for the fault-tolerant facility
location problem with penalties.
.- A Q-Learning Driven Artificial Bee Colony Algorithm for Multi-Objective
Multiplex Industrial Chain Networks Design with Multiple Supply Cycles.
.- Complete Bipartite Graph Division Under Weakly Lexicographic Preferences.
.- Multiagent Reinforcement Learning based on Structural Coordination.
.- Fair Division of Indivisible Chores with Weighted and Prioritized Agents.
.- An Efficient Incentive Mechanism for Collaborative Anomaly Detection in
Internet of Things.
.- Advancing Evasion: Highly Effective Distributed Backdoor Attacks in
Federated Learning.
.- DCAFNet: An Efficient Change Detection Structure for Remote Sensing
Images.
.- Feature norms-aware and Hardness guided Complementary Entropy Balanced
Loss for Long-tailed Image Classification.
.- Research on Two-stage Text Language Identification Algorithms for Chinese,
Japanese, and Korean.
.- Improved XGBoost-MLP model and application to performance prediction.
.- STB-GraCapsNet: A Novel Capsule Network Structure with Swin Transformer
Block.
.- NAAM: Enhancing Automatic Task Mapping Efficiency on NUMA Machines.
.- A Lightweight Garbage Classification Algorithm for Scenic Spots.
.- Soft capacitated two-stage stochastic facility location problem.
.- TSR: a Location Privacy Preservation Mechanism in Public Transportation
Route Planning Service.
.- Parallel Acceleration of Transportation Problem Solving Using SpMV in the
Industrial Chain Context.
.- Reinforcement Learning for Airline Multi-product Continuous Dynamic
Pricing.
.- I/O Latency Management in Private Cloud Infrastructures.
.- UAV Swarm Collaborative Target Assignment Problem: A Deletion Robust
Submodular Maximization Approach.
.- Streaming algorithm for balance gain and cost with Knapsack constraint on
the integer lattice.
.- Decentralizing Energy Trading for Electric Vehicles using Blockchain
Technology.
.- Leveraging Hardware Performance Counters for Predicting Workload
Interference in Vector Supercomputers.
.- Intelligent Multi-agent Systems for UAV-Robot Path Optimization via
Reflective Evolution.
.- The hub location and flow assignment problem in the high-speed railway and
highway co-transportation network.
.- Predicting MPI communication for solving partial differential equations
using Machine Learning.
.- A CNN_LSTM_KAN based genetic algorithm for photovoltaic power generation
revenue prediction.
.- A Multiscale Global-Local Transformer for Long-Sequence PV power
generation Forecasting.
