Embark on a learning journey with our brand-new MOOC course on Federated Learning and Neural Architecture Search.
Course overview:
This course is focused on presenting how Federated Learning (FL) and Neural Architecture Search (NAS) helped the development of the AI-SPRINT framework.
Key topics:
- Federated Learning in the AI-SPRINT project
- Edge Intelligent Paradigm
- Model Inference on the Edge
- Network Topology
- Data Availability and Partition
- Reduction of Community Costs
- NAS and AI-SPRINT
- What is AutoML?
- “Vanilla” Neural Architecture Search
- NASNet
- Progressive NAS (PNAS)
- Pareto-Optimal Progressive NAS
- Differentiable Architecture Search
Why join?
- Understand the challenges and opportunities in Federated Learning and Neural Architecture Search
- Gather practical examples of implementing FL and NAS in a European project