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 way I'd think about it is this: The biggest challenges are non-IID data, client dropout, bandwidth limits, device heterogeneity, privacy leakage through updates, malicious clients, and hard-to-measure real-world performance across diverse participants. Federated learning is usually much...
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