The Lazy Wizard's Guide to Federated Learning | Johannes Kolbe

How can we build machine learning models when data is difficult to access, connectivity is limited, or computing resources are constrained? In this PyCon Africa 2026 session, Johannes Kolbe presents The Lazy Wizard's Guide to Federated Learning: Building ML Models in Difficult Places. Discover how federated learning can help teams build machine learning models across distributed environments without relying on traditional centralized data collection. This talk explores approaches to machine learning in challenging settings and the possibilities federated learning opens up for developers, researchers, and data scientists. 📍 Session: The Lazy Wizard's Guide to Federated Learning: Building ML Models in Difficult Places 🎤 Speaker: Johannes Kolbe 🌍 Event: PyCon Africa 2026 Whether you're interested in machine learning, distributed systems, or building AI solutions in resource-constrained environments, this session offers insights into alternative ways of approaching ML development.