The integration of Large Language Models (LLMs) and Edge Intelligence (EI) introduces a
groundbreaking paradigm for intelligent edge devices. With their capacity for human-like …

This review highlights the efficacy of combining federated learning (FL) and transfer learning
(TL) for cancer detection via image analysis. By integrating these techniques, research has …

Large scale language models (LLM) have received significant attention and found diverse
applications across various domains, but their development encounters challenges in real …

The scalability of large language models (LLMs) in handling high-complexity models and
large-scale datasets has led to tremendous successes in pivotal domains. While there is an …

The rapid development of Large Language Models (LLMs) has been pivotal in advancing AI,
with pre-trained LLMs being adaptable to diverse downstream tasks through fine-tuning …

Large language models (LLMs) continue to exhibit noteworthy capabilities across a
spectrum of areas, including emerging proficiencies across the health care continuum …

Recent breakthroughs in large language models (LLMs) offer unprecedented natural
language understanding and generation capabilities. However, existing surveys on LLMs in …

Aligning large language models (LLMs) with human values is imperative to mitigate
potential adverse effects resulting from their misuse. Drawing from the sociological insight …

Large language models are rapidly gaining popularity and have been widely adopted in real-
world applications. While the quality of training data is essential, privacy concerns arise …

There is an acute need for solutions to treat stress and trauma–related sequelae, and there
are well‐documented shortages of qualified human professionals. Artificial intelligence (AI) …