Parallel and Distributed Computing, Applications and Technologies

.- 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 Alzheimer's 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.

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• Grid & computação paralela
• Sistemas Distribuídos

Parallel/distributed architectures;Parallel/distributed algorithms;Big data computing and analysis;Heterogeneous and multimedia Systems;Communication and telecommunication;Wireless networks and mobile computing;Distributed data and knowledge based systems;Intelligent computing and neural networks;Machine learning;Artificial intelligence based algorithms;Distributed Federated Learning paradigms;Performance tuning, optimization and profiling;Distributed, decentralized, and parallel data management