Explain the concept of model poisoning in Federated Learning and how to mitigate it.

Instruction: Describe what model poisoning is, its impact on Federated Learning, and discuss methods to prevent it.

Context: This question evaluates the candidate’s awareness of security threats in Federated Learning and their knowledge of techniques to safeguard against such vulnerabilities.

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Model poisoning happens when malicious or compromised clients send manipulated updates to distort the global model...

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