As large language models (LLMs) like ChatGPT continue to advance, user expectations of them keep growing, including with ...

Diffusion models are widely used in many AI applications, but research on efficient inference-time scalability, particularly ...

Hierarchical federated learning (HFL) is a privacy-preserving distributed machine learning framework with a client-edge-cloud hierarchy, where multiple edge servers perform partial model aggregation ...

This study presents a comprehensive survey on Quantum Machine Learning (QML) along with its current status, challenges, and perspectives. QML combines quantum computing and machine learning to solve ...