Order-of-magnitude sizes for typical cross-device federated learning applications
| Total population size | 106–1010 devices |
|---|---|
| Devices selected for one round of training | 50–5000 |
| Total devices that participate in training one model | 105–107 |
| Number of rounds for model convergence | 500–10000 |
| Wall-clock training time | 1–10 days |
| Total population size | 106–1010 devices |
|---|---|
| Devices selected for one round of training | 50–5000 |
| Total devices that participate in training one model | 105–107 |
| Number of rounds for model convergence | 500–10000 |
| Wall-clock training time | 1–10 days |
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