Sets noise_multiplier and clients_per_round correctly in construction of DifferentiallyPrivateFactory in aggregator tuning colab.
"outputs": [],
"source": [
"dp_mean = tff.aggregators.DifferentiallyPrivateFactory.gaussian_adaptive(\n",
- " noise_multiplier, clients_per_round)\n",
+ " noise_multiplier=0.1, clients_per_round=100)\n",
"\n",
"# Equivalent to:\n",
"# dp_mean = tff.learning.dp_aggregator(\n",
- "# noise_multiplier, clients_per_round, zeroing=False)"
+ "# noise_multiplier=0.1, clients_per_round=100, zeroing=False)"
]
},
{
