What are the computational challenges of implementing Federated Learning on mobile devices, and how can they be addressed?
Instruction: Identify the main computational hurdles of running Federated Learning algorithms on mobile devices and propose solutions.
Context: This question evaluates the candidate's awareness of the practical limitations and challenges of deploying Federated Learning models on resource-constrained devices, such as mobile phones, and their ability to solve these issues.
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The main challenges are limited CPU or accelerator capacity, memory, battery use, intermittent connectivity, and the need to avoid interfering with the user's experience...