Pretrained Foundation Models (PFMs) are regarded as the foundation for various
downstream tasks with different data modalities. A PFM (eg, BERT, ChatGPT, and GPT-4) is …

Recent advances in natural language processing and machine learning have led to the
development of chatbot models, such as ChatGPT, that can engage in conversational …

Recent advancements in deep learning have shown that multimodal inference can be
particularly useful in tasks like autonomous driving, human health, and production line …

Federated Learning (FL) is a distributed machine learning (ML) paradigm, aiming to train a
global model by exploiting the decentralized data across millions of edge devices …

Artificial Intelligence (AI) systems such as autonomous vehicles, facial recognition, and
speech recognition systems are increasingly integrated into our daily lives. However …

Many machine learning techniques rely on plenty of training data. However, data are often
possessed unequally by different entities, with a large proportion of data being held by a …

Smart homes are enhanced with the convenience offered by Internet of Things (IoT) devices.
However, the interconnected behaviors of devices can lead to unexpected interactions …