Addressing the cold start problem in Federated Learning
Instruction: Discuss methods to effectively initiate Federated Learning models in scenarios with limited initial data.
Context: This question explores the candidate's strategies for overcoming the cold start problem, ensuring Federated Learning models are efficiently initialized.
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Cold start shows up when there is not enough client history, not enough participating clients, or not enough representative signal to train a...