Instruction: Describe the phenomenon of model drift in Federated Learning and propose strategies to mitigate its effects.
Context: This question probes the candidate's understanding of model drift in the context of Federated Learning and their competency in developing strategies to maintain model relevancy over time.
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I would treat drift in federated learning as both a data problem and a participation problem. Client populations, behaviors, and feature distributions can change over time, and those shifts may not be visible uniformly across the network.
To address...