Why run a huge, costly LLM when a smaller, distilled one can do the job faster, cheaper and with fewer hallucinations?

Abstract: Deep learning-based unsupervised domain adaptation (UDA) has shown potential in cross-scene hyperspectral image (HSI) classification. However, existing methods often experience reduced ...

Abstract: Federated learning is an emerging privacy-preserving distributed learning paradigm, in which many clients collaboratively train a shared global model under the orchestration of a remote ...