Hours:
20 hours (5 credits)

Room:

Meeting Room, Dept. of Information Engineering, Largo Lazzarino 1, Pisa, Sixth Floor

To register to the course, click here

Short Abstract:

This is an advanced doctoral-level research-oriented course, centered on collaborative edge AI and its applications in AIoT. It systematically covers the various aspects of edge-AI research and applications, including edge computing paradigms, collaborative framework, task scheduling, edge AI model training/inference, and future research directions. This course focuses on academic challenges, state-of-the-art technologies, key research issues, and major application cases, aiming to cultivate students’ independent research ability in collaborative edge computing and intelligence.

Course Contents in brief:

1. AIoT and Its Key Enabling Technologies
2. Edge Computing and Edge AI
3. Collaborative Edge AI
4. Collaborative Task Scheduling
5. AI Model Training, Inference and Future Research Topics

Schedule:

1. July 6 – 14:00-18:00
2. July 7 – 09:00-13:00
3. July 8 – 09:00-13:00
4. July 9 – 09:00-13:00
5. July 10 – 09:00-13:00