Federated Learning (FL) has gained significant attention as a novel distributed machine learning paradigm that enables collaborative model training while preserving data privacy. However, traditional ...

Transfer learning has emerged as a pivotal strategy, particularly in the realm of large language models (LLMs). But what exactly is this concept, and how does it revolutionize the way AI systems learn ...

The TLE-PINN method integrates EPINN and deep learning models through a transfer learning framework, combining strong physical constraints and efficient computational capabilities to accurately ...

Robot perception and cognition often rely on the integration of information from multiple sensory modalities, such as vision, ...