Instruction: Describe the application of Federated Learning in edge computing, including its benefits and challenges.
Context: This question explores the candidate’s knowledge of integrating Federated Learning with edge computing, highlighting their understanding of both fields.
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The way I'd explain it in an interview is this: Federated learning fits edge computing because both assume computation happens close to where data is generated. Edge devices can train or adapt local models using their own data, then send only...
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