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What is Energy-Efficient Scheduling in Federated Learning about?

This paper investigates the energy consumption optimization of Federated Learning (FL) on heterogeneous devices by proposing a scheduling algorithm that minimizes energy costs during training. It formulates the Minimal Cost FL Schedule problem and introduces an optimal pseudo-polynomial solution based on the Multiple-Choice Minimum-Cost Maximal Knapsack Packing Problem, along with four algorithms for specific scenarios. The study highlights the importance of energy efficiency in FL, especially given the inc

Author

Jakub Krajniak

Language

EN