A Multi-Rank Federated Distillation Framework for Data-Imbalance Fault Diagnosis of Multi-Railway High-Speed Train Bogies.

An Efficient Federated Learning Framework for Machinery Fault Diagnosis With Improved Model Aggregation and Local Model Training.

Joint Service Caching, Resource Allocation and Task Offloading for MEC-Based Networks: A Multi-Layer Optimization Approach.

Generalized Zero-Shot Approach Leveraging Attribute Space for High-Speed Train Bogie.

GraphFL: Graph Federated Learning for Fault Localization of Multirailway High-Speed Train Suspension Systems.

Lightweight FL: A Low-Cost Federated Learning Framework for Mechanical Fault Diagnosis With Training Optimization and Model Pruning.

Online optimal service caching for multi-access edge computing: A constrained Multi-Armed Bandit optimization approach.

On incentivizing resource allocation and task offloading for cooperative edge computing.

Comparative analysis of urban underground public space and user walking paths based on the social network model.

A clustered blueprint separable convolutional neural network with high precision for high-speed train bogie fault diagnosis.

A data-driven method for estimating the target position of low-frequency sound sources in shallow seas.

A Fault Diagnosis Method of Industrial Robot Rolling Bearing Based on Data Driven and Random Intuitive Fuzzy Decision.