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federated-3 addition < 16 oct
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19 changes: 19 additions & 0 deletions Table/config\_exp2 central attack.tex
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\begin{table}[h]
\centering
\begin{tabular}{|c|c|}
\hline
parameter & value\\
\hline
max_depth & 12 \\\hline
objective & binary:logistic \\\hline
tree_method & approx \\\hline
learning_rate & 0.3 \\\hline
n_estimators & 20 \\\hline
gamma & 0 \\\hline
reg_alpha & 0.0 \\\hline
reg_lambda & 1 \\\hline
model & XGBClassifier \\\hline

\end{tabular}\caption{./Table/config_exp2 central attack}
\label{tab:./Table/config_exp2 central attack}
\end{table}
19 changes: 19 additions & 0 deletions Table/config\_exp2 federated attack1.tex
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\begin{table}[h]
\centering
\begin{tabular}{|c|c|}
\hline
parameter & value\\
\hline
max_depth & 12 \\\hline
objective & binary:logistic \\\hline
tree_method & exact \\\hline
learning_rate & 0.3 \\\hline
n_estimators & 40 \\\hline
gamma & 0 \\\hline
reg_alpha & 0 \\\hline
reg_lambda & 1 \\\hline
model & XGBClassifier \\\hline

\end{tabular}\caption{./Table/config_exp2 federated attack1}
\label{tab:./Table/config_exp2 federated attack1}
\end{table}
19 changes: 19 additions & 0 deletions Table/config\_exp2 federated attack2.tex
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\begin{table}[h]
\centering
\begin{tabular}{|c|c|}
\hline
parameter & value\\
\hline
max_depth & 12 \\\hline
objective & binary:logistic \\\hline
tree_method & exact \\\hline
learning_rate & 0.3 \\\hline
n_estimators & 20 \\\hline
gamma & 0 \\\hline
reg_alpha & 0 \\\hline
reg_lambda & 1 \\\hline
model & XGBClassifier \\\hline

\end{tabular}\caption{./Table/config_exp2 federated attack2}
\label{tab:./Table/config_exp2 federated attack2}
\end{table}
19 changes: 19 additions & 0 deletions Table/config\_experiment1\_attack.tex
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\begin{table}[h]
\centering
\begin{tabular}{|c|c|}
\hline
parameter & value\\
\hline
max_depth & 12 \\\hline
objective & binary:logistic \\\hline
tree_method & approx \\\hline
learning_rate & 0.3 \\\hline
n_estimators & 20 \\\hline
gamma & 0.5 \\\hline
reg_alpha & 0.0 \\\hline
reg_lambda & 0.1 \\\hline
model & XGBClassifier \\\hline

\end{tabular}\caption{./Table/config_experiment1_attack}
\label{tab:./Table/config_experiment1_attack}
\end{table}
17 changes: 17 additions & 0 deletions Table/config\_experiment1\_targetandshadow.tex
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\begin{table}[h]
\centering
\begin{tabular}{|c|c|}
\hline
parameter & value\\
\hline
alpha & 0.0 \\\hline
gamma & 0.5 \\\hline
lam & 0.1 \\\hline
learningrate & 0.3 \\\hline
maxdepth & 8 \\\hline
maxtree & 20 \\\hline
model & FederBoost \\\hline

\end{tabular}\caption{./Table/config_experiment1_targetandshadow}
\label{tab:./Table/config_experiment1_targetandshadow}
\end{table}
20 changes: 20 additions & 0 deletions Table/config\_experiment2\_targetandshadow.tex
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\begin{table}[h]
\centering
\begin{tabular}{|c|c|}
\hline
parameter & value\\
\hline
alpha & 0.0 \\\hline
gamma & 0.5 \\\hline
lam & 0.1 \\\hline
learningrate & 0.3 \\\hline
maxdepth & 8 \\\hline
maxtree & 20 \\\hline
data_devision & [0.1, 0.9] \\\hline
nBuckets & 100 \\\hline
train_size & 10000 \\\hline
model & FederBoost \\\hline

\end{tabular}\caption{./Table/config_experiment2_targetandshadow}
\label{tab:./Table/config_experiment2_targetandshadow}
\end{table}
4 changes: 2 additions & 2 deletions Table/config_experiment1_targetandshadow.tex
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Expand Up @@ -5,10 +5,10 @@
parameter & value\\
\hline
alpha & 0.0 \\\hline
gamma & 0 \\\hline
gamma & 0.5 \\\hline
lam & 0.1 \\\hline
learningrate & 0.3 \\\hline
maxdepth & 12 \\\hline
maxdepth & 8 \\\hline
maxtree & 20 \\\hline
model & FederBoost \\\hline

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16 changes: 8 additions & 8 deletions Table/experiment_1_alpha.tex
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\begin{tabular}{|c| *{12}{m{1.0cm}|}}
\hline\rowcolor{gray!50}
\cellcolor{gray!80} alpha & \multicolumn{4}{c|}{healthcare} & \multicolumn{4}{c|}{synthetic-10} & \multicolumn{4}{c|}{synthetic-100}\\\hline
& accuracy attack & recall attack & accuray target & overfitting target & accuracy attack & recall attack & accuray target & overfitting target & accuracy attack & recall attack & accuray target & overfitting target\\\hline
0 & 0.62 & 0.66 & 0.37 & 0.54 & 0.71 & 0.79 & 0.66 & 0.34 & 0.84 & 0.88 & 0.12 & 0.88\\ \hline
0.1 & 0.62 & 0.68 & 0.36 & 0.53 & 0.70 & 0.78 & 0.67 & 0.33 & 0.83 & 0.87 & 0.12 & 0.88\\ \hline
0.25 & 0.61 & 0.65 & 0.38 & 0.50 & 0.71 & 0.78 & 0.68 & 0.32 & 0.84 & 0.85 & 0.13 & 0.87\\ \hline
0.5 & 0.61 & 0.64 & 0.38 & 0.49 & 0.69 & 0.75 & 0.68 & 0.32 & 0.82 & 0.86 & 0.12 & 0.88\\ \hline
0.75 & 0.60 & 0.66 & 0.37 & 0.49 & 0.69 & 0.76 & 0.69 & 0.31 & 0.80 & 0.85 & 0.12 & 0.88\\ \hline
1 & 0.59 & 0.61 & 0.38 & 0.46 & 0.69 & 0.74 & 0.68 & 0.32 & 0.80 & 0.82 & 0.12 & 0.88\\ \hline
10 & 0.52 & 0.54 & 0.39 & 0.14 & 0.53 & 0.54 & 0.63 & 0.24 & 0.48 & 0.55 & 0.07 & 0.12\\ \hline
& accuracy attack & recall attack & accuracy target & overfitting target & accuracy attack & recall attack & accuracy target & overfitting target & accuracy attack & recall attack & accuracy target & overfitting target\\\hline
0 & 0.51 & 0.45 & 0.22 & 0.19 & 0.55 & 0.52 & 0.70 & 0.21 & 0.70 & 0.71 & 0.21 & 0.77\\ \hline
0.1 & 0.50 & 0.53 & 0.19 & 0.17 & 0.54 & 0.48 & 0.70 & 0.21 & 0.69 & 0.70 & 0.21 & 0.76\\ \hline
0.25 & 0.51 & 0.49 & 0.23 & 0.21 & 0.54 & 0.51 & 0.71 & 0.21 & 0.68 & 0.71 & 0.21 & 0.76\\ \hline
0.5 & 0.51 & 0.48 & 0.22 & 0.18 & 0.54 & 0.50 & 0.72 & 0.21 & 0.66 & 0.67 & 0.21 & 0.73\\ \hline
0.75 & 0.51 & 0.53 & 0.23 & 0.15 & 0.54 & 0.51 & 0.71 & 0.20 & 0.64 & 0.67 & 0.20 & 0.73\\ \hline
1 & 0.50 & 0.49 & 0.22 & 0.15 & 0.53 & 0.49 & 0.72 & 0.19 & 0.63 & 0.66 & 0.20 & 0.71\\ \hline
10 & 0.50 & 0.54 & 0.22 & 0.03 & 0.51 & 0.52 & 0.72 & 0.12 & 0.50 & 0.50 & 0.18 & 0.23\\ \hline
\end{tabular}
\caption{FederBoost-central's attack metrics on alpha.}
\label{tab:experiment1_alpha}
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18 changes: 9 additions & 9 deletions Table/experiment_1_gamma.tex
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\begin{tabular}{|c| *{12}{m{1.0cm}|}}
\hline\rowcolor{gray!50}
\cellcolor{gray!80} gamma & \multicolumn{4}{c|}{healthcare} & \multicolumn{4}{c|}{synthetic-10} & \multicolumn{4}{c|}{synthetic-100}\\\hline
& accuracy attack & recall attack & accuray target & overfitting target & accuracy attack & recall attack & accuray target & overfitting target & accuracy attack & recall attack & accuray target & overfitting target\\\hline
0 & 0.72 & 0.77 & 0.36 & 0.62 & 0.77 & 0.84 & 0.67 & 0.33 & 0.94 & 0.97 & 0.13 & 0.87\\ \hline
0.1 & 0.71 & 0.76 & 0.39 & 0.59 & 0.76 & 0.83 & 0.66 & 0.34 & 0.94 & 0.96 & 0.13 & 0.87\\ \hline
0.25 & 0.68 & 0.72 & 0.37 & 0.60 & 0.75 & 0.82 & 0.67 & 0.33 & 0.89 & 0.92 & 0.13 & 0.87\\ \hline
0.5 & 0.62 & 0.68 & 0.38 & 0.52 & 0.70 & 0.79 & 0.66 & 0.34 & 0.84 & 0.85 & 0.13 & 0.87\\ \hline
0.75 & 0.59 & 0.65 & 0.36 & 0.50 & 0.68 & 0.75 & 0.68 & 0.32 & 0.80 & 0.84 & 0.12 & 0.87\\ \hline
1 & 0.56 & 0.61 & 0.37 & 0.43 & 0.67 & 0.73 & 0.66 & 0.33 & 0.76 & 0.78 & 0.12 & 0.87\\ \hline
5 & 0.50 & 0.38 & 0.39 & 0.13 & 0.55 & 0.56 & 0.63 & 0.21 & 0.49 & 0.59 & 0.09 & 0.36\\ \hline
10 & 0.50 & 0.49 & 0.38 & 0.05 & 0.52 & 0.55 & 0.58 & 0.15 & 0.50 & 0.76 & 0.07 & 0.13\\ \hline
& accuracy attack & recall attack & accuracy target & overfitting target & accuracy attack & recall attack & accuracy target & overfitting target & accuracy attack & recall attack & accuracy target & overfitting target\\\hline
0 & 0.51 & 0.43 & 0.11 & 0.14 & 0.52 & 0.43 & 0.31 & 0.14 & 0.69 & 0.67 & 0.20 & 0.77\\ \hline
0.1 & 0.51 & 0.35 & 0.11 & 0.13 & 0.52 & 0.44 & 0.39 & 0.17 & 0.70 & 0.70 & 0.20 & 0.76\\ \hline
0.25 & 0.52 & 0.27 & 0.13 & 0.15 & 0.53 & 0.53 & 0.65 & 0.22 & 0.71 & 0.73 & 0.20 & 0.77\\ \hline
0.5 & 0.50 & 0.48 & 0.20 & 0.18 & 0.55 & 0.52 & 0.70 & 0.22 & 0.70 & 0.72 & 0.21 & 0.76\\ \hline
0.75 & 0.51 & 0.48 & 0.26 & 0.23 & 0.55 & 0.56 & 0.74 & 0.19 & 0.69 & 0.72 & 0.21 & 0.76\\ \hline
1 & 0.51 & 0.47 & 0.31 & 0.23 & 0.55 & 0.57 & 0.76 & 0.18 & 0.66 & 0.71 & 0.20 & 0.76\\ \hline
5 & 0.50 & 0.61 & 0.37 & 0.07 & 0.51 & 0.51 & 0.77 & 0.11 & 0.52 & 0.54 & 0.18 & 0.38\\ \hline
10 & 0.51 & 0.51 & 0.39 & 0.05 & 0.52 & 0.50 & 0.75 & 0.08 & 0.50 & 0.49 & 0.15 & 0.20\\ \hline
\end{tabular}
\caption{FederBoost-central's attack metrics on gamma.}
\label{tab:experiment1_gamma}
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16 changes: 8 additions & 8 deletions Table/experiment_1_lam.tex
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Expand Up @@ -2,14 +2,14 @@
\begin{tabular}{|c| *{12}{m{1.0cm}|}}
\hline\rowcolor{gray!50}
\cellcolor{gray!80} lam & \multicolumn{4}{c|}{healthcare} & \multicolumn{4}{c|}{synthetic-10} & \multicolumn{4}{c|}{synthetic-100}\\\hline
& accuracy attack & recall attack & accuray target & overfitting target & accuracy attack & recall attack & accuray target & overfitting target & accuracy attack & recall attack & accuray target & overfitting target\\\hline
0 & 0.63 & 0.70 & 0.36 & 0.55 & 0.71 & 0.74 & 0.66 & 0.34 & 0.84 & 0.88 & 0.12 & 0.88\\ \hline
0.1 & 0.62 & 0.63 & 0.36 & 0.55 & 0.72 & 0.77 & 0.66 & 0.33 & 0.85 & 0.90 & 0.13 & 0.87\\ \hline
0.25 & 0.62 & 0.70 & 0.37 & 0.53 & 0.70 & 0.76 & 0.67 & 0.33 & 0.84 & 0.87 & 0.13 & 0.87\\ \hline
0.5 & 0.60 & 0.66 & 0.37 & 0.52 & 0.71 & 0.78 & 0.67 & 0.33 & 0.84 & 0.89 & 0.12 & 0.88\\ \hline
0.75 & 0.62 & 0.71 & 0.37 & 0.51 & 0.70 & 0.78 & 0.68 & 0.32 & 0.84 & 0.85 & 0.13 & 0.86\\ \hline
1 & 0.60 & 0.71 & 0.39 & 0.48 & 0.68 & 0.73 & 0.67 & 0.32 & 0.83 & 0.85 & 0.14 & 0.86\\ \hline
10 & 0.55 & 0.63 & 0.38 & 0.35 & 0.62 & 0.66 & 0.69 & 0.28 & 0.65 & 0.68 & 0.13 & 0.71\\ \hline
& accuracy attack & recall attack & accuracy target & overfitting target & accuracy attack & recall attack & accuracy target & overfitting target & accuracy attack & recall attack & accuracy target & overfitting target\\\hline
0 & 0.52 & 0.46 & 0.22 & 0.19 & 0.54 & 0.52 & 0.70 & 0.21 & 0.70 & 0.74 & 0.20 & 0.78\\ \hline
0.1 & 0.51 & 0.48 & 0.21 & 0.19 & 0.55 & 0.55 & 0.72 & 0.22 & 0.70 & 0.71 & 0.20 & 0.77\\ \hline
0.25 & 0.51 & 0.46 & 0.22 & 0.19 & 0.55 & 0.51 & 0.71 & 0.21 & 0.69 & 0.71 & 0.22 & 0.75\\ \hline
0.5 & 0.51 & 0.44 & 0.24 & 0.18 & 0.54 & 0.50 & 0.73 & 0.20 & 0.68 & 0.67 & 0.22 & 0.72\\ \hline
0.75 & 0.51 & 0.52 & 0.25 & 0.19 & 0.55 & 0.56 & 0.74 & 0.20 & 0.67 & 0.63 & 0.22 & 0.70\\ \hline
1 & 0.51 & 0.52 & 0.23 & 0.18 & 0.54 & 0.56 & 0.73 & 0.19 & 0.67 & 0.66 & 0.23 & 0.69\\ \hline
10 & 0.50 & 0.55 & 0.37 & 0.11 & 0.53 & 0.55 & 0.76 & 0.13 & 0.56 & 0.57 & 0.24 & 0.43\\ \hline
\end{tabular}
\caption{FederBoost-central's attack metrics on lam.}
\label{tab:experiment1_lam}
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12 changes: 6 additions & 6 deletions Table/experiment_1_learning_rate.tex
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Expand Up @@ -2,12 +2,12 @@
\begin{tabular}{|c| *{12}{m{1.0cm}|}}
\hline\rowcolor{gray!50}
\cellcolor{gray!80} learning_rate & \multicolumn{4}{c|}{healthcare} & \multicolumn{4}{c|}{synthetic-10} & \multicolumn{4}{c|}{synthetic-100}\\\hline
& accuracy attack & recall attack & accuray target & overfitting target & accuracy attack & recall attack & accuray target & overfitting target & accuracy attack & recall attack & accuray target & overfitting target\\\hline
0.1 & 0.61 & 0.67 & 0.38 & 0.47 & 0.69 & 0.75 & 0.64 & 0.35 & 0.81 & 0.85 & 0.14 & 0.85\\ \hline
0.25 & 0.62 & 0.67 & 0.38 & 0.51 & 0.71 & 0.77 & 0.67 & 0.33 & 0.86 & 0.88 & 0.12 & 0.88\\ \hline
0.5 & 0.58 & 0.61 & 0.37 & 0.52 & 0.69 & 0.74 & 0.65 & 0.35 & 0.79 & 0.83 & 0.12 & 0.88\\ \hline
0.75 & 0.56 & 0.60 & 0.35 & 0.56 & 0.66 & 0.71 & 0.64 & 0.36 & 0.70 & 0.79 & 0.09 & 0.91\\ \hline
1 & 0.56 & 0.53 & 0.32 & 0.60 & 0.64 & 0.68 & 0.59 & 0.41 & 0.62 & 0.68 & 0.09 & 0.91\\ \hline
& accuracy attack & recall attack & accuracy target & overfitting target & accuracy attack & recall attack & accuracy target & overfitting target & accuracy attack & recall attack & accuracy target & overfitting target\\\hline
0.1 & 0.50 & 0.43 & 0.18 & 0.11 & 0.51 & 0.48 & 0.58 & 0.18 & 0.60 & 0.60 & 0.20 & 0.63\\ \hline
0.25 & 0.51 & 0.40 & 0.21 & 0.16 & 0.55 & 0.49 & 0.70 & 0.20 & 0.68 & 0.68 & 0.20 & 0.74\\ \hline
0.5 & 0.52 & 0.50 & 0.20 & 0.25 & 0.57 & 0.55 & 0.75 & 0.22 & 0.68 & 0.74 & 0.19 & 0.81\\ \hline
0.75 & 0.53 & 0.53 & 0.26 & 0.29 & 0.59 & 0.61 & 0.77 & 0.21 & 0.61 & 0.64 & 0.15 & 0.85\\ \hline
1 & 0.53 & 0.45 & 0.24 & 0.34 & 0.61 & 0.67 & 0.79 & 0.21 & 0.50 & 1.00 & 0.02 & 0.00\\ \hline
\end{tabular}
\caption{FederBoost-central's attack metrics on learning_rate.}
\label{tab:experiment1_learning_rate}
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10 changes: 5 additions & 5 deletions Table/experiment_1_max_depth.tex
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Expand Up @@ -2,11 +2,11 @@
\begin{tabular}{|c| *{12}{m{1.0cm}|}}
\hline\rowcolor{gray!50}
\cellcolor{gray!80} max_depth & \multicolumn{4}{c|}{healthcare} & \multicolumn{4}{c|}{synthetic-10} & \multicolumn{4}{c|}{synthetic-100}\\\hline
& accuracy attack & recall attack & accuray target & overfitting target & accuracy attack & recall attack & accuray target & overfitting target & accuracy attack & recall attack & accuray target & overfitting target\\\hline
5 & 0.53 & 0.56 & 0.39 & 0.34 & 0.63 & 0.66 & 0.67 & 0.30 & 0.82 & 0.84 & 0.12 & 0.88\\ \hline
8 & 0.62 & 0.70 & 0.36 & 0.54 & 0.72 & 0.79 & 0.67 & 0.33 & 0.84 & 0.90 & 0.13 & 0.87\\ \hline
12 & 0.69 & 0.72 & 0.35 & 0.62 & 0.74 & 0.81 & 0.67 & 0.33 & 0.85 & 0.86 & 0.12 & 0.88\\ \hline
15 & 0.70 & 0.74 & 0.36 & 0.61 & 0.74 & 0.80 & 0.67 & 0.33 & 0.85 & 0.87 & 0.12 & 0.88\\ \hline
& accuracy attack & recall attack & accuracy target & overfitting target & accuracy attack & recall attack & accuracy target & overfitting target & accuracy attack & recall attack & accuracy target & overfitting target\\\hline
5 & 0.50 & 0.43 & 0.11 & 0.01 & 0.50 & 0.34 & 0.10 & -0.00 & 0.50 & 0.54 & 0.12 & 0.25\\ \hline
8 & 0.51 & 0.41 & 0.20 & 0.19 & 0.55 & 0.52 & 0.71 & 0.21 & 0.70 & 0.72 & 0.21 & 0.77\\ \hline
12 & 0.67 & 0.66 & 0.34 & 0.60 & 0.65 & 0.71 & 0.80 & 0.20 & 0.78 & 0.86 & 0.22 & 0.78\\ \hline
15 & 0.73 & 0.75 & 0.36 & 0.62 & 0.66 & 0.72 & 0.81 & 0.19 & 0.78 & 0.85 & 0.22 & 0.78\\ \hline
\end{tabular}
\caption{FederBoost-central's attack metrics on max_depth.}
\label{tab:experiment1_max_depth}
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16 changes: 8 additions & 8 deletions Table/experiment_1_max_tree.tex
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Expand Up @@ -2,14 +2,14 @@
\begin{tabular}{|c| *{12}{m{1.0cm}|}}
\hline\rowcolor{gray!50}
\cellcolor{gray!80} max_tree & \multicolumn{4}{c|}{healthcare} & \multicolumn{4}{c|}{synthetic-10} & \multicolumn{4}{c|}{synthetic-100}\\\hline
& accuracy attack & recall attack & accuray target & overfitting target & accuracy attack & recall attack & accuray target & overfitting target & accuracy attack & recall attack & accuray target & overfitting target\\\hline
5 & 0.56 & 0.60 & 0.35 & 0.43 & 0.64 & 0.67 & 0.61 & 0.36 & 0.66 & 0.72 & 0.10 & 0.82\\ \hline
10 & 0.59 & 0.66 & 0.36 & 0.52 & 0.68 & 0.74 & 0.66 & 0.34 & 0.82 & 0.86 & 0.12 & 0.88\\ \hline
20 & 0.62 & 0.71 & 0.37 & 0.54 & 0.72 & 0.78 & 0.67 & 0.33 & 0.84 & 0.84 & 0.12 & 0.88\\ \hline
30 & 0.64 & 0.62 & 0.37 & 0.55 & 0.71 & 0.79 & 0.67 & 0.33 & 0.84 & 0.90 & 0.12 & 0.88\\ \hline
50 & 0.63 & 0.59 & 0.37 & 0.53 & 0.71 & 0.77 & 0.66 & 0.34 & 0.84 & 0.86 & 0.13 & 0.87\\ \hline
100 & 0.62 & 0.60 & 0.37 & 0.52 & 0.70 & 0.78 & 0.67 & 0.32 & 0.84 & 0.87 & 0.12 & 0.88\\ \hline
150 & 0.63 & 0.61 & 0.36 & 0.55 & 0.70 & 0.75 & 0.66 & 0.34 & 0.85 & 0.86 & 0.12 & 0.88\\ \hline
& accuracy attack & recall attack & accuracy target & overfitting target & accuracy attack & recall attack & accuracy target & overfitting target & accuracy attack & recall attack & accuracy target & overfitting target\\\hline
5 & 0.50 & 0.50 & 0.17 & 0.09 & 0.50 & 0.48 & 0.52 & 0.14 & 0.53 & 0.56 & 0.17 & 0.45\\ \hline
10 & 0.50 & 0.49 & 0.17 & 0.14 & 0.52 & 0.47 & 0.61 & 0.20 & 0.59 & 0.60 & 0.18 & 0.66\\ \hline
20 & 0.51 & 0.49 & 0.22 & 0.19 & 0.55 & 0.49 & 0.69 & 0.21 & 0.70 & 0.71 & 0.21 & 0.77\\ \hline
30 & 0.52 & 0.44 & 0.20 & 0.23 & 0.57 & 0.54 & 0.73 & 0.22 & 0.75 & 0.80 & 0.22 & 0.77\\ \hline
50 & 0.53 & 0.49 & 0.23 & 0.26 & 0.60 & 0.59 & 0.78 & 0.20 & 0.76 & 0.84 & 0.22 & 0.78\\ \hline
100 & 0.54 & 0.39 & 0.25 & 0.31 & 0.62 & 0.67 & 0.81 & 0.18 & 0.77 & 0.83 & 0.22 & 0.78\\ \hline
150 & 0.55 & 0.38 & 0.27 & 0.35 & 0.63 & 0.66 & 0.82 & 0.18 & 0.76 & 0.82 & 0.22 & 0.78\\ \hline
\end{tabular}
\caption{FederBoost-central's attack metrics on max_tree.}
\label{tab:experiment1_max_tree}
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14 changes: 14 additions & 0 deletions Table/experiment_1_nBuckets.tex
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\begin{table*}[]\centering
\begin{tabular}{|c| *{12}{m{1.0cm}|}}
\hline\rowcolor{gray!50}
\cellcolor{gray!80} nBuckets & \multicolumn{4}{c|}{healthcare} & \multicolumn{4}{c|}{synthetic-10} & \multicolumn{4}{c|}{synthetic-100}\\\hline
& accuracy attack & recall attack & accuracy target & overfitting target & accuracy attack & recall attack & accuracy target & overfitting target & accuracy attack & recall attack & accuracy target & overfitting target\\\hline
10 & 0.50 & 0.51 & 0.21 & 0.17 & 0.53 & 0.53 & 0.72 & 0.17 & 0.62 & 0.62 & 0.20 & 0.72\\ \hline
20 & 0.50 & 0.48 & 0.21 & 0.18 & 0.53 & 0.55 & 0.73 & 0.19 & 0.66 & 0.67 & 0.21 & 0.75\\ \hline
50 & 0.51 & 0.44 & 0.22 & 0.19 & 0.54 & 0.53 & 0.73 & 0.20 & 0.69 & 0.71 & 0.21 & 0.76\\ \hline
100 & 0.51 & 0.42 & 0.23 & 0.19 & 0.55 & 0.52 & 0.70 & 0.21 & 0.70 & 0.74 & 0.21 & 0.77\\ \hline
1000 & 0.51 & 0.44 & 0.21 & 0.19 & 0.55 & 0.54 & 0.69 & 0.23 & 0.71 & 0.73 & 0.20 & 0.78\\ \hline
\end{tabular}
\caption{FederBoost-central's attack metrics on nBuckets.}
\label{tab:experiment1_nBuckets}
\end{table*}
13 changes: 13 additions & 0 deletions Table/experiment_1_train_size.tex
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\begin{table*}[]\centering
\begin{tabular}{|c| *{12}{m{1.0cm}|}}
\hline\rowcolor{gray!50}
\cellcolor{gray!80} train_size & \multicolumn{4}{c|}{healthcare} & \multicolumn{4}{c|}{synthetic-10} & \multicolumn{4}{c|}{synthetic-100}\\\hline
& accuracy attack & recall attack & accuracy target & overfitting target & accuracy attack & recall attack & accuracy target & overfitting target & accuracy attack & recall attack & accuracy target & overfitting target\\\hline
1000 & 0.67 & 0.71 & 0.31 & 0.64 & 0.72 & 0.76 & 0.58 & 0.42 & 0.85 & 0.90 & 0.07 & 0.93\\ \hline
2000 & 0.59 & 0.66 & 0.31 & 0.60 & 0.69 & 0.70 & 0.61 & 0.39 & 0.84 & 0.89 & 0.12 & 0.88\\ \hline
5000 & 0.54 & 0.54 & 0.28 & 0.34 & 0.60 & 0.57 & 0.69 & 0.28 & 0.77 & 0.80 & 0.19 & 0.80\\ \hline
10000 & 0.51 & 0.43 & 0.23 & 0.19 & 0.54 & 0.52 & 0.72 & 0.20 & 0.70 & 0.72 & 0.20 & 0.77\\ \hline
\end{tabular}
\caption{FederBoost-central's attack metrics on train_size.}
\label{tab:experiment1_train_size}
\end{table*}
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