Federated learning (FL) promotes decentralized training while prioritizing data
confidentiality. However its application on resource-constrained devices is challenging due …

Deploying deep neural networks (DNNs) on edge devices provides efficient and effective
solutions for the real-world tasks. Edge devices have been used for collecting a large …

Efficiently serving large language models (LLMs) requires batching many requests together
to reduce the cost per request. However, this approach faces challenges due to the …