| 研究実績の概要 |
We have realized and evaluated the proposed layered in-network learning approach. Specifically, the main functions of FL is implemented in a GPU-workstation, and meanwhile, global gradient updating features has been added to the intelligent BSs. We extensively evaluated the performance in terms of network throughput, spectrum utilization, bandwidth consumption and convergence speed.
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