For continual learning in mobile edge computing, a mixture-of-experts router with enough edge servers can bound overall generalization error to the minimum within-task-type gap, unlike standard offloading.
Federated learning for online resource allocation in mobile edge computing: A deep reinforcement learning approach,
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Theory of Mixture-of-Experts for Mobile Edge Computing
For continual learning in mobile edge computing, a mixture-of-experts router with enough edge servers can bound overall generalization error to the minimum within-task-type gap, unlike standard offloading.