[DevFest 2024] Distributed ai with flower - by Charles Beauville скачать в хорошем качестве

[DevFest 2024] Distributed ai with flower - by Charles Beauville

Welcome to the GDG Mons channel! Today, we’re sharing a must-watch session from DevFest Mons 2024 — perfect for anyone curious about the future of AI and privacy-first machine learning. In this talk, Charles Beauville introduces you to Federated Learning, a groundbreaking approach that enables training machine learning models without centralizing data. This technique is key to building scalable, privacy-preserving, and secure AI systems. Using the open-source framework Flower, Charles walks you through the core concepts, real-world applications, and even hands-on demos. You’ll learn how to orchestrate federated clients, customize training loops, and go beyond standard algorithms like FedAvg. This is a clear, practical, and inspiring session for developers, data scientists, or anyone eager to explore the next frontier of AI. You can find our speaker on: LinkedIn :   / charles-beauville   📎 Presentation slides: https://docs.google.com/presentation/... Thanks for watching! Don’t forget to like, comment, and subscribe to stay updated on our upcoming tech events. you can 📌 Follow us on social media: LinkedIn :   / gdg-mons   Instagram :   / gdgmons   Facebook :   / gdgmons   X : https://x.com/GDG_Mons #GDGMons #DevFestMons #FederatedLearning #FlowerFramework #DistributedAI #EdgeAI #PrivacyPreservingAI #AI #TechForGood