hyperparams_to_models_map.json

[
	{	"model_identifier": "coordinate_median_keras",
		"hyperparams": {
			"global": {
				"rounds": 3,
				"termination_accuracy": 0.9,
				"max_timeout": 60
			},
			"local": {
				"training": {
					"epochs": 3
				}
			}
		}
	},
	{	"model_identifier": "coordinate_median_pytorch",
		"hyperparams": {
			"global": {
				"rounds": 3,
				"termination_accuracy": 0.9,
				"max_timeout": 60
			},
			"local": {
				"training": {
					"epochs": 3,
					"lr": 1
				},
				"optimizer": "optim.Adadelta"
			}
		}
	},
	{	"model_identifier": "coordinate_median_sklearn",
		"hyperparams": {
			"global": {
				"rounds": 3,
				"termination_accuracy": 0.9,
				"max_timeout": 60
			},
			"local": {
				"training": {
					"max_iter": 2
				}
			}
		}
	},
	{	"model_identifier": "coordinate_median_tf",
		"hyperparams": {
			"global": {
				"rounds": 3,
				"termination_accuracy": 0.9,
				"max_timeout": 60
			},
			"local": {
				"training": {
					"epochs": 3
				}
			}
		}
	},
	{
		"model_identifier": "coordinate_median_plus_tf",
		"hyperparams": {
			"global": {
				"rounds": 3,
				"termination_accuracy": 0.8,
				"max_timeout": 600,
				"rho": 10
			},
			"local": {
				"training": {
					"epochs": 10,
					"batch_size": 10,
					"alpha": 0.01
				},
				"optimizer": {
					"lr": 0.003
				}
			}
		}
	},
	{
		"model_identifier": "geometric_median_plus_tf",
		"hyperparams": {
			"global": {
				"rounds": 3,
				"termination_accuracy": 0.8,
				"max_timeout": 600,
				"rho": 10
			},
			"local": {
				"training": {
					"epochs": 10,
					"batch_size": 10,
					"alpha": 0.01
				},
				"optimizer": {
					"lr": 0.003
				}
			}
		}
	},
	{	"model_identifier": "crypto_iter_avg_keras",
		"hyperparams": {
			"global": {
				"rounds": 3,
				"termination_accuracy": 0.9
			},
			"local": {
				"training": {
					"epochs": 3
				}
			}
		}
	},
	{	"model_identifier": "differential_privacy_sgd_keras",
		"hyperparams": {
			"global": {
				"rounds": 3,
				"termination_accuracy": 0.9,
				"privacy": {
					"l2_norm_clip": 1.0,
					"noise_multiplier": 1.1,
					"epsilon": 10.0,
					"delta": 1e-5,
					"trust_rate": 1.0,
					"noise_schedule": "uniform",
					"accountant": "renyi"
				}
			},
			"local": {
				"training": {
					"epochs": 3,
					"privacy": {}
				}
			}
		}
	},
	{	"model_identifier": "fedavg_keras",
		"hyperparams": {
			"global": {
				"rounds": 3,
				"termination_accuracy": 0.9,
				"max_timeout": 60
			},
			"local": {
				"training": {
					"epochs": 3
				}
			}
		}
	},
	{	"model_identifier": "fedavg_pytorch",
		"hyperparams": {
			"global": {
				"rounds": 3,
				"termination_accuracy": 0.9,
				"max_timeout": 60
			},
			"local": {
				"training": {
					"epochs": 3,
					"lr": 1
				},
				"optimizer": "optim.Adadelta"
			}
		}
	},
	{	"model_identifier": "fedavg_sklearn",
		"hyperparams": {
			"global": {
				"rounds": 3,
				"termination_accuracy": 0.9,
				"max_timeout": 60
			},
			"local": {
				"training": {
					"max_iter": 2
				}
			}
		}
	},
	{	"model_identifier": "fedavg_tf",
		"hyperparams": {
			"global": {
				"rounds": 3,
				"termination_accuracy": 0.9
			},
			"local": {
				"training": {
					"epochs": 3
				},
				"optimizer": {
					"lr": 0.01
				}
			}
		}
	},
	{	"model_identifier": "fedavgplus_tf",
		"hyperparams": {
			"global": {
				"rounds": 3,
				"termination_accuracy": 0.8,
				"max_timeout": 600,
				"rho": 1000
			},
			"local": {
				"training": {
					"epochs": 10,
					"batch_size": 10,
					"alpha": 0.01
				},
				"optimizer": {
					"lr": 0.003
				}
			}
		}
	},
	{	"model_identifier": "fedprox_tf",
		"hyperparams": {
			"global": {
				"rounds": 10,
				"termination_accuracy": 0.9,
				"max_timeout": 60
			},
			"local": {
				"training": {
					"epochs": 3
				}
			}
		}
	},
	{	"model_identifier": "gradient_aggregation_keras",
		"hyperparams": {
			"global": {
				"rounds": 3,
				"termination_accuracy": 0.9,
				"max_timeout": 60
			},
			"local": {
				"training": {
					"epochs": 3
				}
			}
		}
	},
	{	"model_identifier": "gradient_aggregation_pytorch",
		"hyperparams": {
			"global": {
				"rounds": 10,
				"termination_accuracy": 0.9,
				"max_timeout": 60
			},
			"local": {
				"training": {
					"epochs": 3,
					"lr": 1
				},
				"optimizer": "optim.Adadelta"
			}
		}
	},
	{	"model_identifier": "gradient_aggregation_tf",
		"hyperparams": {
			"global": {
				"rounds": 10,
				"termination_accuracy": 0.9,
				"max_timeout": 60
			},
			"local": {
				"training": {
					"epochs": 3
				}
			}
		}
	},
	{	"model_identifier": "id3_dt_None",
		"hyperparams": {
			"global": {
				"max_depth": 3
			}
		}
	},
	{	"model_identifier": "iter_avg_keras",
		"hyperparams": {
			"global": {
				"rounds": 3,
				"termination_accuracy": 0.9,
				"max_timeout": 60
			},
			"local": {
				"training": {
					"epochs": 3
				}
			}
		}
	},
	{	"model_identifier": "iter_avg_pytorch",
		"hyperparams": {
			"global": {
				"rounds": 3,
				"termination_accuracy": 0.9,
				"max_timeout": 60
			},
			"local": {
				"training": {
					"epochs": 3,
					"lr": 1
				},
				"optimizer": "optim.Adadelta"
			}
		}
	},
	{	"model_identifier": "iter_avg_sklearn",
		"hyperparams": {
			"global": {
				"rounds": 3,
				"termination_accuracy": 0.9,
				"max_timeout": 60
			},
			"local": {
				"training": {
					"max_iter": 2
				}
			}
		}
	},
	{	"model_identifier": "iter_avg_tf",
		"hyperparams": {
			"global": {
				"rounds": 3,
				"termination_accuracy": 0.9,
				"max_timeout": 60
			},
			"local": {
				"training": {
					"epochs": 3
				}
			}
		}
	},
	{	"model_identifier": "krum_keras",
		"hyperparams": {
			"global": {
				"rounds": 3,
				"max_timeout": 60,
				"byzantine_threshold": 1
			},
			"local": {
				"training": {
					"epochs": 3
				}
			}
		}
	},
	{	"model_identifier": "krum_pytorch",
		"hyperparams": {
			"global": {
				"rounds": 3,
				"max_timeout": 60,
				"byzantine_threshold": 1
			},
			"local": {
				"training": {
					"epochs": 3,
					"lr": 1
				},
				"optimizer": "optim.Adadelta"
			}
		}
	},
	{	"model_identifier": "krum_tf",
		"hyperparams": {
			"global": {
				"rounds": 3,
				"max_timeout": 60,
				"byzantine_threshold": 1
			},
			"local": {
				"training": {
					"epochs": 3
				}
			}
		}
	},
	{	"model_identifier": "pfnm_keras",
		"hyperparams": {
			"global": {
				"rounds": 3,
				"termination_accuracy": 0.9,
				"max_timeout": 60
			},
			"local": {
				"training": {
					"epochs": 3
				}
			}
		}
	},
	{	"model_identifier": "pfnm_pytorch",
		"hyperparams": {
			"global": {
				"rounds": 3,
				"termination_accuracy": 0.9,
				"max_timeout": 60
			},
			"local": {
				"training": {
					"epochs": 3,
					"lr": 1
				},
				"optimizer": "optim.Adadelta"
			}
		}
	},
	{	"model_identifier": "pfnm_tf",
		"hyperparams": {
			"global": {
				"rounds": 3,
				"termination_accuracy": 0.9,
				"max_timeout": 60
			},
			"local": {
				"training": {
					"epochs": 3
				}
			}
		}
	},
	{
		"model_identifier": "prej_remover_None",
		"hyperparams": {
			"global": {
				"rounds": 3,
				"termination_accuracy": 0.9
			},
			"local": {
				"training": {
					"max_iter": 2
				}
			}
		}
	},
	{
		"model_identifier":  "shuffle_iter_avg_keras",
		"hyperparams": {
			"global": {
                "rounds": 3,
                "termination_accuracy": 0.9,
                "max_timeout": 60
            },
			"local": {
				"training": {
					"epochs": 3
				}
			}
		}
	},
	{
		"model_identifier":  "shuffle_iter_avg_pytorch",
		"hyperparams": {
			"global": {
                "rounds": 3,
                "termination_accuracy": 0.9,
                "max_timeout": 60
            },
			"local": {
				"training": {
					"epochs": 3,
					"lr": 1
				},
				"optimizer": "optim.Adadelta"
			}
		}
	},
	{
		"model_identifier":  "shuffle_iter_avg_sklearn",
		"hyperparams": {
			"global": {
                "rounds": 3,
                "termination_accuracy": 0.9,
                "max_timeout": 60
            },
			"local": {
				"training": {
					"max_iter": 2
				}
			}
		}
	},
	{
		"model_identifier":  "shuffle_iter_avg_tf",
		"hyperparams": {
			"global": {
                "rounds": 3,
                "termination_accuracy": 0.9,
                "max_timeout": 60
            },
			"local": {
				"training": {
					"epochs": 3
				}
			}
		}

	},
	{	"model_identifier": "sklearn_logclassification_globalrw_sklearn",
		"hyperparams": {
			"global": {
				"rounds": 3,
				"termination_accuracy": 0.9
			},
			"local": {
				"training": {
					"max_iter": 2
				}
			}
		}
	},
	{	"model_identifier": "sklearn_logclassification_rw_sklearn",
		"hyperparams": {
			"global": {
				"rounds": 3,
				"termination_accuracy": 0.9
			},
			"local": {
				"training": {
					"max_iter": 2
				}
			}
		}
	},
	{	"model_identifier": "spahm_sklearn",
		"hyperparams": {
			"global": {
				"rounds": 1,
				"iters": 50,
				"optimize_hyperparams": true
			},
			"local": {
				"training": {
					"max_iter": 500,
					"n_clusters": 10
				}
			}
		}
	},
	{	"model_identifier": "xgboost_None",
		"hyperparams": {
			"global": {
				"learning_rate": 0.1,
				"loss": "binary_crossentropy",
				"max_bins": 255,
				"max_depth": null,
				"max_iter": 50,
				"n_iter_no_change": 1,
				"scoring": "loss",
				"tol": 1e-7,
				"validation_fraction": null,
				"verbose": true
			}
		}
	},
	{	"model_identifier": "zeno_keras",
		"hyperparams": {
			"global": {
				"rounds": 3,
				"termination_accuracy": 0.9,
				"max_timeout": 60
			},
			"local": {
				"training": {
					"epochs": 3
				}
			}
		}
	},
	{	"model_identifier": "zeno_pytorch",
		"hyperparams": {
			"global": {
				"rounds": 3,
				"termination_accuracy": 0.9,
				"max_timeout": 60
			},
			"local": {
				"training": {
					"epochs": 3,
					"lr": 1
				},
				"optimizer": "optim.Adadelta"
			}
		}
	},
	{	"model_identifier": "zeno_tf",
		"hyperparams": {
			"global": {
				"rounds": 3,
				"termination_accuracy": 0.9,
				"max_timeout": 60
			},
			"local": {
				"training": {
					"epochs": 3
				}
			}
		}
	}
]