CASA

The 'CASA' dataset/benchmark is used to evaluate federated learning strategies by assessing their performance in terms of resource utilization and model convergence across edge nodes with limited hardware resources.

Papers using CASA (1)

Toward efficient resource utilization at edge nodes in federated learning2023