What challenges are associated with Federated Learning?

Instruction: Identify and explain the main challenges faced in implementing Federated Learning systems.

Context: This question is intended to test the candidate's awareness of the practical and theoretical hurdles in Federated Learning, including data heterogeneity, communication costs, and model convergence issues.

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The biggest challenges are non-IID data, client dropout, bandwidth limits, device heterogeneity, privacy leakage through updates, malicious clients, and hard-to-measure...

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