Thursday, 29 April 2027
08:50 | Zoom Meeting opens |
09:00 | Welcome & Presentation of AI Factory Austria AI:AT |
10:00 | Theory (75 minutes) |
- AI refresher and centralized versus distributed learning (10 min) | |
- federated learning motivation and workflow (20 min) | |
- learning settings and personalization (15 min) | |
- frameworks, client selection and hyperparameters (10 min) | |
- data heterogeneity, communication, security, privacy, evaluation metrics and quiz (20 min) | |
10:30 | Break (15 min) |
11:00 | Guided practice (60 minutes) |
- inspect three non-IID MNIST clients and local-only models with missing digit classes (15 min) | |
- run federated training with weighted FedAvg (25 min) | |
- introduce the follow-up Fashion-MNIST assignment and discuss findings (5 min) | |
12:50 | End of course |