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run_all_experiments.sh
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311 lines (277 loc) · 8.03 KB
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#!/bin/bash
# run_all_experiments.sh
set -e
echo "FedLIME Experiments with Local Privacy"
echo ""
echo "Configuration:"
echo " Communication Rounds: 50"
echo " Local Epochs: 15"
echo " Batch Size: 128"
echo " Learning Rate: 0.001"
echo " LIME Noise (σ): 0.01"
echo " Seed: 0"
echo ""
echo "Total: 12 experiments (9 federated + 3 centralized)"
echo ""
START_TIME=$(date +%s)
EXPERIMENT_NUM=0
# Function to run experiment
run_experiment() {
EXPERIMENT_NUM=$((EXPERIMENT_NUM + 1))
echo ""
echo "Experiment $EXPERIMENT_NUM/9: $1"
echo "Command: $2"
echo ""
eval "$2"
if [ $? -eq 0 ]; then
echo "✓ Experiment $EXPERIMENT_NUM completed successfully"
else
echo "✗ Experiment $EXPERIMENT_NUM failed"
exit 1
fi
}
# Non-IID Settings (3 clients)
run_experiment "Adult-Age (Non-IID, 3 age groups)" \
"python fedlime_newaggmethod.py \
--dataset_name adult-age \
--num_clients 3 \
--communication_rounds 50 \
--epochs 15 \
--batch_size 128 \
--lr 0.001 \
--use_pos_weight yes \
--lime_action all \
--lime_instances 100 \
--lime_num_features 10 \
--lime_num_samples 2000 \
--lime_noise_std 0.01 \
--lime_noise_clip yes \
--out_dir noniid_adult_age_ldp \
--seed 0"
run_experiment "Law-Income (Non-IID, 3 income groups)" \
"python fedlime_newaggmethod.py \
--dataset_name law-income \
--num_clients 3 \
--communication_rounds 50 \
--epochs 15 \
--batch_size 128 \
--lr 0.001 \
--use_pos_weight yes \
--lime_action all \
--lime_instances 100 \
--lime_num_features 10 \
--lime_num_samples 2000 \
--lime_noise_std 0.01 \
--lime_noise_clip yes \
--out_dir noniid_law_income_ldp \
--seed 0"
run_experiment "Bank-Age (Non-IID, 3 age groups)" \
"python fedlime_newaggmethod.py \
--dataset_name bank-age \
--num_clients 3 \
--communication_rounds 50 \
--epochs 15 \
--batch_size 128 \
--lr 0.001 \
--use_pos_weight yes \
--lime_action all \
--lime_instances 100 \
--lime_num_features 10 \
--lime_num_samples 2000 \
--lime_noise_std 0.01 \
--lime_noise_clip yes \
--out_dir noniid_bank_age_ldp \
--seed 0"
# IID Settings - 10 Clients
run_experiment "Bank (IID, 10 clients)" \
"python fedlime_newaggmethod.py \
--dataset_name bank \
--num_clients 10 \
--communication_rounds 50 \
--epochs 15 \
--batch_size 128 \
--lr 0.001 \
--use_pos_weight yes \
--lime_action all \
--lime_instances 100 \
--lime_num_features 10 \
--lime_num_samples 2000 \
--lime_noise_std 0.01 \
--lime_noise_clip yes \
--out_dir iid_bank_10clients_ldp \
--seed 0"
run_experiment "Law (IID, 10 clients)" \
"python fedlime_newaggmethod.py \
--dataset_name law \
--num_clients 10 \
--communication_rounds 50 \
--epochs 15 \
--batch_size 128 \
--lr 0.001 \
--use_pos_weight yes \
--lime_action all \
--lime_instances 100 \
--lime_num_features 10 \
--lime_num_samples 2000 \
--lime_noise_std 0.01 \
--lime_noise_clip yes \
--out_dir iid_law_10clients_ldp \
--seed 0"
run_experiment "Adult (IID, 10 clients)" \
"python fedlime_newaggmethod.py \
--dataset_name adult \
--num_clients 10 \
--communication_rounds 50 \
--epochs 15 \
--batch_size 128 \
--lr 0.001 \
--use_pos_weight yes \
--lime_action all \
--lime_instances 100 \
--lime_num_features 10 \
--lime_num_samples 2000 \
--lime_noise_std 0.01 \
--lime_noise_clip yes \
--out_dir iid_adult_10clients_ldp \
--seed 0"
# IID Settings - 3 Clients
run_experiment "Bank (IID, 3 clients)" \
"python fedlime_newaggmethod.py \
--dataset_name bank \
--num_clients 3 \
--communication_rounds 50 \
--epochs 15 \
--batch_size 128 \
--lr 0.001 \
--use_pos_weight yes \
--lime_action all \
--lime_instances 100 \
--lime_num_features 10 \
--lime_num_samples 2000 \
--lime_noise_std 0.01 \
--lime_noise_clip yes \
--out_dir iid_bank_3clients_ldp \
--seed 0"
run_experiment "Law (IID, 3 clients)" \
"python fedlime_newaggmethod.py \
--dataset_name law \
--num_clients 3 \
--communication_rounds 50 \
--epochs 15 \
--batch_size 128 \
--lr 0.001 \
--use_pos_weight yes \
--lime_action all \
--lime_instances 100 \
--lime_num_features 10 \
--lime_num_samples 2000 \
--lime_noise_std 0.01 \
--lime_noise_clip yes \
--out_dir iid_law_3clients_ldp \
--seed 0"
run_experiment "Adult (IID, 3 clients)" \
"python fedlime_newaggmethod.py \
--dataset_name adult \
--num_clients 3 \
--communication_rounds 50 \
--epochs 15 \
--batch_size 128 \
--lr 0.001 \
--use_pos_weight yes \
--lime_action all \
--lime_instances 100 \
--lime_num_features 10 \
--lime_num_samples 2000 \
--lime_noise_std 0.01 \
--lime_noise_clip yes \
--out_dir iid_adult_3clients_ldp \
--seed 0"
# Centralized (Global) Baselines
echo ""
echo "CENTRALIZED BASELINES"
echo ""
run_experiment "Adult (Centralized Baseline)" \
"python global_model_only.py \
--dataset_name adult \
--num_clients 10 \
--epochs 750 \
--batch_size 128 \
--lr 0.001 \
--use_pos_weight yes \
--run_lime yes \
--lime_instances 100 \
--lime_num_features 10 \
--lime_num_samples 2000"
run_experiment "Bank (Centralized Baseline)" \
"python global_model_only.py \
--dataset_name bank \
--num_clients 10 \
--epochs 750 \
--batch_size 128 \
--lr 0.001 \
--use_pos_weight yes \
--run_lime yes \
--lime_instances 100 \
--lime_num_features 10 \
--lime_num_samples 2000"
run_experiment "Law (Centralized Baseline)" \
"python global_model_only.py \
--dataset_name law \
--num_clients 10 \
--epochs 750 \
--batch_size 128 \
--lr 0.001 \
--use_pos_weight yes \
--run_lime yes \
--lime_instances 100 \
--lime_num_features 10 \
--lime_num_samples 2000"
# Generate Visualizations
echo ""
echo "GENERATING VISUALIZATIONS"
echo ""
echo "Visualizing federated experiments..."
# Non-IID
python visualize_lime_results.py --result_dir results/adult-age/noniid_adult_age_ldp --save
python visualize_lime_results.py --result_dir results/law-income/noniid_law_income_ldp --save
python visualize_lime_results.py --result_dir results/bank-age/noniid_bank_age_ldp --save
# IID 10 clients
python visualize_lime_results.py --result_dir results/bank/iid_bank_10clients_ldp --save
python visualize_lime_results.py --result_dir results/law/iid_law_10clients_ldp --save
python visualize_lime_results.py --result_dir results/adult/iid_adult_10clients_ldp --save
# IID 3 clients
python visualize_lime_results.py --result_dir results/bank/iid_bank_3clients_ldp --save
python visualize_lime_results.py --result_dir results/law/iid_law_3clients_ldp --save
python visualize_lime_results.py --result_dir results/adult/iid_adult_3clients_ldp --save
echo ""
echo "All visualizations generated"
END_TIME=$(date +%s)
DURATION=$((END_TIME - START_TIME))
HOURS=$((DURATION / 3600))
MINUTES=$(((DURATION % 3600) / 60))
SECONDS=$((DURATION % 60))
echo ""
echo "All Experiments Completed Successfully!"
echo ""
echo "Total experiments: 12 (9 federated + 3 centralized)"
echo "Total visualizations: 9 (federated only)"
echo "Total time: ${HOURS}h ${MINUTES}m ${SECONDS}s"
echo ""
echo "Federated results saved in:"
echo " results/adult-age/noniid_adult_age_ldp/"
echo " results/law-income/noniid_law_income_ldp/"
echo " results/bank-age/noniid_bank_age_ldp/"
echo " results/bank/iid_bank_10clients_ldp/"
echo " results/law/iid_law_10clients_ldp/"
echo " results/adult/iid_adult_10clients_ldp/"
echo " results/bank/iid_bank_3clients_ldp/"
echo " results/law/iid_law_3clients_ldp/"
echo " results/adult/iid_adult_3clients_ldp/"
echo ""
echo "Centralized baselines saved in:"
echo " results/adult/global_model_only/"
echo " results/bank/global_model_only/"
echo " results/law/global_model_only/"
echo ""
echo "Visualizations (plots/) created in each federated result directory"
echo ""