With rapidly increasing distributed deep learning workloads in large-scale data centers,
efficient distributed deep learning framework strategies for resource allocation and workload …

Federated learning (FL) is revolutionizing healthcare by enabling collaborative machine
learning across institutions while preserving patient privacy and meeting regulatory …

As the parameter size of large language models (LLMs) continues to expand, the need for a
large memory footprint and high communication bandwidth have become significant …

The Internet of things (IoT) presents unique challenges for the deployment of machine
learning (ML) models, particularly due to constraints on computational resources, the …

Abstract Machine learning and artificial intelligence models have profoundly transformed
human society, impacting everything from daily life to the automation of industrial production …