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The Federated Parallel Scaling (FPS) algorithm is proposed, which jointly trains multiple sampled subnetworks in parallel with self-distillation so that larger sampled subnetworks can supervise smaller ones during local updates.
We consider the energy-constrained task allocation problem in large-scale Aerial Edge Computing (AEC) systems, which encompasses a series of tightly coupled decision-making processes, including which tasks need to be processed by uncrewed aerial vehicles (UAVs), how to allocate these tasks and balance energy across UAV...
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