Federated Learning Attack & Defense Explained with Code (Full Program Demo - Own Data )

Описание: Welcome to this in-depth tutorial on Federated Learning Security, where we simulate real-world attacks and apply defense mechanisms step-by-step using Python!

In this video, you’ll learn how to:
✅ Implement federated learning using PyTorch
✅ Simulate poisoning attacks in a federated setup
✅ Apply defense strategies such as robust aggregation krum , trimmed mean , clipping norm
✅ Visualize training rounds, accuracy, and attack impacts
✅ Understand how to make your FL system resilient and trustworthy

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