Lab Publishes Survey in IEEE Transactions on Sustainable Computing

The laboratory published the survey paper "Advancements in Accelerating Deep Neural Network Inference on AIoT Devices: A Survey" in IEEE Transactions on Sustainable Computing.

The 18-page survey analyzes techniques and trends for accelerating deep learning inference on AIoT devices, including model compression, hardware optimization, parallel execution, software-hardware co-design, privacy and security, and inference under resource constraints.

The paper provides a systematic reference for sustainable computing and efficient AI deployment on future IoT applications.