Federated Learning Architecture and Security for AI Security Specialists: From Zero to Adversarial Robustness

Master the principles of Federated Learning, identify its unique security and privacy threats, and implement robust defense mechanisms to secure AI systems against advanced attacks.

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Foundations of Federated Learning and Its Security Landscape

Unit 1: Introduction to Federated Learning

Unit 2: Security and Privacy Threats in FL

Advanced Security and Privacy in Federated Learning

Unit 1: Secure Aggregation Techniques

Unit 2: Privacy-Preserving Mechanisms

Unit 3: Designing Secure FL Systems