How does Federated Learning handle device heterogeneity?
Instruction: Discuss the approaches Federated Learning employs to manage the challenges posed by device heterogeneity.
Context: The question is designed to probe the candidate's understanding of the variability in device capabilities within Federated Learning networks and the techniques used to ensure smooth and efficient model training across diverse devices.
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Device heterogeneity is handled by designing around uneven compute, memory, power, and connectivity...