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run_job.sh
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run_job.sh
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dataset=yelp
method=fedfgd
experiment_count=02
random_seed=0
cpu_simultaneous_clients=4
gpu_simultaneous_clients=4
checkpoint_interval=10
rounds=1500
dirichlet_distribution=1.0
epochs=1
finetuning_epochs=5
batch_size=8
max_seq_len=64
peft_method=bitfit
if echo "$peft_method" | grep -q "lora"; then
lora_r=1
lora_alpha=1
elif echo "$peft_method" | grep -q "bitfit"; then
lora_r=0
lora_alpha=0
elif echo "$peft_method" | grep -q "classifier"; then
lora_r=0
lora_alpha=0
elif echo "$peft_method" | grep -q "ia3"; then
lora_r=0
lora_alpha=0
fi
if echo "$dataset" | grep -q "agnews"; then
model_name=roberta-large
# model_name=bert-base-uncased
num_clients=100
total_clients=1000
lr=1e-3
elif echo "$dataset" | grep -q "sst2"; then
model_name=distilbert-base-uncased
# model_name=bert-base-uncased
# model_name=bert-large-uncased
num_clients=10
total_clients=100
lr=1e-4
elif echo "$dataset" | grep -q "snli"; then
model_name=bert-large-uncased
num_clients=10
total_clients=1000
lr=1e-4
elif echo "$dataset" | grep -q "mnli"; then
model_name=bert-large-uncased
num_clients=10
total_clients=1000
lr=1e-4
elif echo "$dataset" | grep -q "yahoo"; then
model_name=distilbert-base-uncased
num_clients=10
total_clients=1000
lr=1e-4
elif echo "$dataset" | grep -q "yelp"; then
model_name=albert-large-v2
num_clients=10
total_clients=1000
lr=1e-4
elif echo "$dataset" | grep -q "qqp"; then
model_name=bert-base-uncased
num_clients=10
total_clients=100
lr=1e-4
elif echo "$dataset" | grep -q "squad6"; then
# model_name=google-t5/t5-11B
model_name=facebook/opt-6.7B
# model_name=EleutherAI/gpt-j-6b
max_seq_len=384
num_clients=10
total_clients=500
lr=1e-4
if echo "$method" | grep -q "fedavg"; then
cpu_simultaneous_clients=2
gpu_simultaneous_clients=2
elif echo "$method" | grep -q "fedyogi"; then
cpu_simultaneous_clients=2
gpu_simultaneous_clients=2
fi
elif echo "$dataset" | grep -q "squad13"; then
# model_name=google-t5/t5-11B
model_name=facebook/opt-13B
# model_name=EleutherAI/gpt-j-6b
max_seq_len=384
num_clients=10
total_clients=500
batch_size=4
lr=1e-4
if echo "$method" | grep -q "fedavg"; then
cpu_simultaneous_clients=2
gpu_simultaneous_clients=2
elif echo "$method" | grep -q "fedyogi"; then
cpu_simultaneous_clients=2
gpu_simultaneous_clients=2
fi
elif echo "$dataset" | grep -q "multirc"; then
# model_name=/datasets/ai/llama2/huggingface/llama-2-7b
model_name=/datasets/ai/llama2/llama-2-7b
num_clients=10
total_clients=100
lr=1e-4
if echo "$method" | grep -q "fedavg"; then
cpu_simultaneous_clients=2
gpu_simultaneous_clients=2
lr=1e-4
elif echo "$method" | grep -q "fedyogi"; then
cpu_simultaneous_clients=2
gpu_simultaneous_clients=2
fi
fi
if echo "$method" | grep -q "spry"; then
if echo "$dataset" | grep -q "agnews"; then
lr=1e-4
elif echo "$dataset" | grep -q "yelp"; then
echo "Yelp Albert-large doesn't work with split because of too few layers. Just run FedFGD."
exit
fi
perturbation_count=1
perturbation_var=1
fixed_seed=False
classifier_share=False
per_client_layer_count=2
client_opt=adamw
server_opt=yogi
checkpoint_dir=./results/${dataset}/Spry/
dataset_dir=/dataloaders/${dataset}/
temp_dir=/scratch/workspace/kpanchal_umass_edu-felicity/${dataset}/Spry/
if echo "$dataset" | grep -q "multirc"; then
experiment_name=${num_clients}_from_${total_clients}_${dirichlet_distribution//.}_dir_${batch_size}_bs_${finetuning_epochs}_ft_epochs_${lr}_lr_llama2_${peft_method}_${lora_r}_r_${fixed_seed}_seed_${perturbation_count}_pcount_${perturbation_var}_pvar_${client_opt}_${server_opt}_opts_${experiment_count}
elif echo "$dataset" | grep -q "squad6"; then
experiment_name=${num_clients}_from_${total_clients}_${dirichlet_distribution//.}_dir_${batch_size}_bs_${finetuning_epochs}_ft_epochs_${lr}_lr_opt6_${peft_method}_${lora_r}_r_${fixed_seed}_seed_${perturbation_count}_pcount_${perturbation_var}_pvar_${client_opt}_${server_opt}_opts_${experiment_count}
dataset=squad
elif echo "$dataset" | grep -q "squad13"; then
experiment_name=${num_clients}_from_${total_clients}_${dirichlet_distribution//.}_dir_${batch_size}_bs_${finetuning_epochs}_ft_epochs_${lr}_lr_opt13_${peft_method}_${lora_r}_r_${fixed_seed}_seed_${perturbation_count}_pcount_${perturbation_var}_pvar_${client_opt}_${server_opt}_opts_${experiment_count}
dataset=squad
else
experiment_name=${num_clients}_from_${total_clients}_${dirichlet_distribution//.}_dir_${batch_size}_bs_${finetuning_epochs}_ft_epochs_${per_client_layer_count}_layers_${lr}_lr_${model_name:0:4}_${peft_method}_${lora_r}_r_${fixed_seed}_seed_${perturbation_count}_pcount_${perturbation_var}_pvar_${client_opt}_${server_opt}_opts_${experiment_count}
fi
elif echo "$method" | grep -q "fedavgsplit"; then
classifier_share=False
client_opt=adamw
checkpoint_dir=./results/${dataset}/FedAvgSplit/
dataset_dir=/dataloaders/${dataset}/
temp_dir=/scratch/workspace/kpanchal_umass_edu-felicity/${dataset}/FedAvgSplit/
if echo "$dataset" | grep -q "multirc"; then
experiment_name=${num_clients}_from_${total_clients}_${dirichlet_distribution//.}_dir_${batch_size}_bs_${lr}_lr_llama2_${peft_method}_${lora_r}_r_${client_opt}_opt_${experiment_count}
elif echo "$dataset" | grep -q "squad"; then
experiment_name=${num_clients}_from_${total_clients}_${dirichlet_distribution//.}_dir_${batch_size}_bs_${lr}_lr_opt6_${peft_method}_${lora_r}_r_${client_opt}_opt_${experiment_count}
else
experiment_name=${num_clients}_from_${total_clients}_${dirichlet_distribution//.}_dir_${batch_size}_bs_${lr}_lr_${model_name:0:4}_${peft_method}_${lora_r}_r_${client_opt}_opt_${experiment_count}
fi
elif echo "$method" | grep -q "fedyogisplit"; then
classifier_share=False
client_opt=adamw
checkpoint_dir=./results/${dataset}/FedYogiSplit/
dataset_dir=/dataloaders/${dataset}/
temp_dir=/scratch/workspace/kpanchal_umass_edu-felicity/${dataset}/FedYogiSplit/
if echo "$dataset" | grep -q "multirc"; then
experiment_name=${num_clients}_from_${total_clients}_${dirichlet_distribution//.}_dir_${batch_size}_bs_${lr}_lr_llama2_${peft_method}_${lora_r}_r_${client_opt}_opt_${experiment_count}
elif echo "$dataset" | grep -q "squad"; then
experiment_name=${num_clients}_from_${total_clients}_${dirichlet_distribution//.}_dir_${batch_size}_bs_${lr}_lr_opt6_${peft_method}_${lora_r}_r_${client_opt}_opt_${experiment_count}
else
experiment_name=${num_clients}_from_${total_clients}_${dirichlet_distribution//.}_dir_${batch_size}_bs_${lr}_lr_${model_name:0:4}_${peft_method}_${lora_r}_r_${client_opt}_opt_${experiment_count}
fi
elif echo "$method" | grep -q "fedfgd"; then
if echo "$dataset" | grep -q "agnews"; then
lr=1e-4
fi
perturbation_count=1
perturbation_var=1
fixed_seed=False
client_opt=adamw
server_opt=yogi
checkpoint_dir=./results/${dataset}/FedFgd/
dataset_dir=/dataloaders/${dataset}/
temp_dir=/scratch/workspace/kpanchal_umass_edu-felicity/${dataset}/FedFgd/
if echo "$dataset" | grep -q "multirc"; then
experiment_name=${num_clients}_from_${total_clients}_${dirichlet_distribution//.}_dir_${batch_size}_bs_${lr}_lr_llama2_${peft_method}_${lora_r}_r_${fixed_seed}_seed_${perturbation_count}_pcount_${perturbation_var}_pvar_${client_opt}_${server_opt}_opts_${experiment_count}
elif echo "$dataset" | grep -q "squad6"; then
experiment_name=${num_clients}_from_${total_clients}_${dirichlet_distribution//.}_dir_${batch_size}_bs_${lr}_lr_opt6_${peft_method}_${lora_r}_r_${fixed_seed}_seed_${perturbation_count}_pcount_${perturbation_var}_pvar_${client_opt}_${server_opt}_opts_${experiment_count}
dataset=squad
elif echo "$dataset" | grep -q "squad13"; then
experiment_name=${num_clients}_from_${total_clients}_${dirichlet_distribution//.}_dir_${batch_size}_bs_${lr}_lr_opt13_${peft_method}_${lora_r}_r_${fixed_seed}_seed_${perturbation_count}_pcount_${perturbation_var}_pvar_${client_opt}_${server_opt}_opts_${experiment_count}
dataset=squad
else
experiment_name=${num_clients}_from_${total_clients}_${dirichlet_distribution//.}_dir_${batch_size}_bs_${lr}_lr_${model_name:0:4}_${peft_method}_${lora_r}_r_${fixed_seed}_seed_${perturbation_count}_pcount_${perturbation_var}_pvar_${client_opt}_${server_opt}_opts_${experiment_count}
fi
elif echo "$method" | grep -q "baffle_plus"; then
K=10
sigma=1e-4
lr=1e-4
finite_difference_format=center
if echo "$dataset" | grep -q "yelp"; then
lr=1e-5
fi
client_opt=adamw
checkpoint_dir=./results/${dataset}/BafflePlus/
dataset_dir=/dataloaders/${dataset}/
temp_dir=/scratch/workspace/kpanchal_umass_edu-felicity/${dataset}/BafflePlus/
if echo "$dataset" | grep -q "multirc"; then
experiment_name=${num_clients}_from_${total_clients}_${dirichlet_distribution//.}_dir_${batch_size}_bs_${lr}_lr_llama2_${peft_method}_${lora_r}_r_${K}_K_${sigma}_sigma_${finite_difference_format}_fd_${experiment_count}
elif echo "$dataset" | grep -q "squad6"; then
experiment_name=${num_clients}_from_${total_clients}_${dirichlet_distribution//.}_dir_${batch_size}_bs_${lr}_lr_opt6_${peft_method}_${lora_r}_r_${K}_K_${sigma}_sigma_${finite_difference_format}_fd_${experiment_count}
dataset=squad
elif echo "$dataset" | grep -q "squad13"; then
experiment_name=${num_clients}_from_${total_clients}_${dirichlet_distribution//.}_dir_${batch_size}_bs_${lr}_lr_opt13_${peft_method}_${lora_r}_r_${K}_K_${sigma}_sigma_${finite_difference_format}_fd_${experiment_count}
dataset=squad
else
experiment_name=${num_clients}_from_${total_clients}_${dirichlet_distribution//.}_dir_${batch_size}_bs_${lr}_lr_${model_name:0:4}_${peft_method}_${lora_r}_r_${K}_K_${sigma}_sigma_${finite_difference_format}_fd_${experiment_count}
fi
elif echo "$method" | grep -q "baffle"; then
K=10
sigma=1e-4
lr=1e-4
finite_difference_format=center
if echo "$dataset" | grep -q "snli"; then
model_name=roberta-base
elif echo "$dataset" | grep -q "yahoo"; then
model_name=roberta-base
elif echo "$dataset" | grep -q "yelp"; then
lr=1e-5
fi
checkpoint_dir=./results/${dataset}/Baffle/
dataset_dir=/dataloaders/${dataset}/
temp_dir=/scratch/workspace/kpanchal_umass_edu-felicity/${dataset}/Baffle/
experiment_name=${num_clients}_from_${total_clients}_${dirichlet_distribution//.}_dir_${batch_size}_bs_${lr}_lr_${model_name:0:4}_${peft_method}_${lora_r}_r_${K}_K_${sigma}_sigma_${finite_difference_format}_fd_${experiment_count}
elif echo "$method" | grep -q "fwdllm_plus"; then
perturbation_count=20
if echo "$dataset" | grep -q "squad"; then
perturbation_count=1
fi
perturbation_var=1e+0
perturbation_scale=1e-2
fixed_seed=False
var_threshold=1e+2
lr=1e-4
rounds=3000
client_opt=adamw
checkpoint_dir=./results/${dataset}/FwdLLMPlus/
dataset_dir=/dataloaders/${dataset}/
temp_dir=/scratch/workspace/kpanchal_umass_edu-felicity/${dataset}/FwdLLMPlus/
if echo "$dataset" | grep -q "multirc"; then
experiment_name=${num_clients}_from_${total_clients}_${dirichlet_distribution//.}_dir_${batch_size}_bs_${lr}_lr_llama_${peft_method}_${lora_r}_r_${fixed_seed}_seed_${perturbation_count}_pcount_${perturbation_var}_pvar_${perturbation_scale}_pscale_${var_threshold}_var_thr_${client_opt}_opts_${experiment_count}
elif echo "$dataset" | grep -q "squad6"; then
experiment_name=${num_clients}_from_${total_clients}_${dirichlet_distribution//.}_dir_${batch_size}_bs_${lr}_lr_opt6_${peft_method}_${lora_r}_r_${fixed_seed}_seed_${perturbation_count}_pcount_${perturbation_var}_pvar_${perturbation_scale}_pscale_${var_threshold}_var_thr_${client_opt}_opts_${experiment_count}
dataset=squad
elif echo "$dataset" | grep -q "squad13"; then
experiment_name=${num_clients}_from_${total_clients}_${dirichlet_distribution//.}_dir_${batch_size}_bs_${lr}_lr_opt13_${peft_method}_${lora_r}_r_${fixed_seed}_seed_${perturbation_count}_pcount_${perturbation_var}_pvar_${perturbation_scale}_pscale_${var_threshold}_var_thr_${client_opt}_opts_${experiment_count}
dataset=squad
else
experiment_name=${num_clients}_from_${total_clients}_${dirichlet_distribution//.}_dir_${batch_size}_bs_${lr}_lr_${model_name:0:4}_${peft_method}_${lora_r}_r_${fixed_seed}_seed_${perturbation_count}_pcount_${perturbation_var}_pvar_${perturbation_scale}_pscale_${var_threshold}_var_thr_${client_opt}_opts_${experiment_count}
fi
elif echo "$method" | grep -q "fwdllm"; then
perturbation_count=1
perturbation_var=1e+0
perturbation_scale=1e-2
fixed_seed=False
var_threshold=1e+2
lr=1e-4
rounds=3000
cpu_simultaneous_clients=1
gpu_simultaneous_clients=1
client_opt=sgd
checkpoint_dir=./results/${dataset}/FwdLLM/
dataset_dir=/dataloaders/${dataset}/
temp_dir=/scratch/workspace/kpanchal_umass_edu-felicity/${dataset}/FwdLLM/
if [[ 'llama' =~ $model_name ]]; then
experiment_name=${num_clients}_from_${total_clients}_${dirichlet_distribution//.}_dir_${batch_size}_bs_${lr}_lr_llama_${peft_method}_${lora_r}_r_${fixed_seed}_seed_${perturbation_count}_pcount_${perturbation_var}_pvar_${perturbation_scale}_pscale_${var_threshold}_var_thr_${client_opt}_opts_${experiment_count}
else
experiment_name=${num_clients}_from_${total_clients}_${dirichlet_distribution//.}_dir_${batch_size}_bs_${lr}_lr_${model_name:0:4}_${peft_method}_${lora_r}_r_${fixed_seed}_seed_${perturbation_count}_pcount_${perturbation_var}_pvar_${perturbation_scale}_pscale_${var_threshold}_var_thr_${client_opt}_opts_${experiment_count}
fi
elif echo "$method" | grep -q "fedavg"; then
client_opt=adamw
checkpoint_dir=./results/${dataset}/FedAvg/
dataset_dir=/dataloaders/${dataset}/
temp_dir=/scratch/workspace/kpanchal_umass_edu-felicity/${dataset}/FedAvg/
if echo "$dataset" | grep -q "multirc"; then
experiment_name=${num_clients}_from_${total_clients}_${dirichlet_distribution//.}_dir_${batch_size}_bs_${lr}_lr_llama2_${peft_method}_${lora_r}_r_${client_opt}_opt_${experiment_count}
elif echo "$dataset" | grep -q "squad6"; then
experiment_name=${num_clients}_from_${total_clients}_${dirichlet_distribution//.}_dir_${batch_size}_bs_${lr}_lr_opt6_${peft_method}_${lora_r}_r_${client_opt}_opt_${experiment_count}
dataset=squad
elif echo "$dataset" | grep -q "squad13"; then
experiment_name=${num_clients}_from_${total_clients}_${dirichlet_distribution//.}_dir_${batch_size}_bs_${lr}_lr_opt13_${peft_method}_${lora_r}_r_${client_opt}_opt_${experiment_count}
dataset=squad
else
experiment_name=${num_clients}_from_${total_clients}_${dirichlet_distribution//.}_dir_${batch_size}_bs_${lr}_lr_${model_name:0:4}_${peft_method}_${lora_r}_r_${client_opt}_opt_${experiment_count}
fi
elif echo "$method" | grep -q "fedyogi"; then
client_opt=adamw
checkpoint_dir=./results/${dataset}/FedYogi/
dataset_dir=/dataloaders/${dataset}/
temp_dir=/scratch/workspace/kpanchal_umass_edu-felicity/${dataset}/FedYogi/
if echo "$dataset" | grep -q "multirc"; then
experiment_name=${num_clients}_from_${total_clients}_${dirichlet_distribution//.}_dir_${batch_size}_bs_${lr}_lr_llama2_${peft_method}_${lora_r}_r_${client_opt}_opt_${experiment_count}
elif echo "$dataset" | grep -q "squad6"; then
experiment_name=${num_clients}_from_${total_clients}_${dirichlet_distribution//.}_dir_${batch_size}_bs_${lr}_lr_opt6_${peft_method}_${lora_r}_r_${client_opt}_opt_${experiment_count}
dataset=squad
elif echo "$dataset" | grep -q "squad13"; then
experiment_name=${num_clients}_from_${total_clients}_${dirichlet_distribution//.}_dir_${batch_size}_bs_${lr}_lr_opt13_${peft_method}_${lora_r}_r_${client_opt}_opt_${experiment_count}
dataset=squad
else
experiment_name=${num_clients}_from_${total_clients}_${dirichlet_distribution//.}_dir_${batch_size}_bs_${lr}_lr_${model_name:0:4}_${peft_method}_${lora_r}_r_${client_opt}_opt_${experiment_count}
fi
fi
echo "$dataset | $method"
echo "$experiment_name"
if echo "$method" | grep -q "spry"; then
python3 ./trainers/client_${method}_transformers.py \
--dataset $dataset --model_name $model_name --random_seed $random_seed \
--cpu_simultaneous_clients $cpu_simultaneous_clients --gpu_simultaneous_clients $gpu_simultaneous_clients \
--checkpoint_interval $checkpoint_interval --num_clients $num_clients \
--total_clients $total_clients --rounds $rounds \
--dirichlet_distribution $dirichlet_distribution --finetuning_epochs $finetuning_epochs\
--epochs $epochs --batch_size $batch_size --lr $lr --max_seq_len $max_seq_len \
--peft_method $peft_method --lora_r $lora_r --lora_alpha $lora_alpha \
--perturbation_count $perturbation_count --perturbation_var $perturbation_var \
--no-fixed_seed --no-classifier_share --per_client_layer_count $per_client_layer_count\
--client_opt $client_opt --server_opt server_opt \
--checkpoint_dir $checkpoint_dir --dataset_dir $dataset_dir \
--temp_dir $temp_dir --experiment_name $experiment_name
elif echo "$method" | grep -q "fedavgsplit"; then
python3 ./trainers/client_${method}_transformers.py \
--dataset $dataset --model_name $model_name --random_seed $random_seed \
--cpu_simultaneous_clients $cpu_simultaneous_clients --gpu_simultaneous_clients $gpu_simultaneous_clients \
--checkpoint_interval $checkpoint_interval --num_clients $num_clients \
--total_clients $total_clients --rounds $rounds --no-classifier_share \
--dirichlet_distribution $dirichlet_distribution --client_opt $client_opt \
--epochs $epochs --batch_size $batch_size --lr $lr --max_seq_len $max_seq_len \
--peft_method $peft_method --lora_r $lora_r --lora_alpha $lora_alpha \
--checkpoint_dir $checkpoint_dir --dataset_dir $dataset_dir \
--temp_dir $temp_dir --experiment_name $experiment_name
elif echo "$method" | grep -q "fedyogisplit"; then
python3 ./trainers/client_${method}_transformers.py \
--dataset $dataset --model_name $model_name --random_seed $random_seed \
--cpu_simultaneous_clients $cpu_simultaneous_clients --gpu_simultaneous_clients $gpu_simultaneous_clients \
--checkpoint_interval $checkpoint_interval --num_clients $num_clients \
--total_clients $total_clients --rounds $rounds --no-classifier_share \
--dirichlet_distribution $dirichlet_distribution --client_opt $client_opt \
--epochs $epochs --batch_size $batch_size --lr $lr --max_seq_len $max_seq_len \
--peft_method $peft_method --lora_r $lora_r --lora_alpha $lora_alpha \
--checkpoint_dir $checkpoint_dir --dataset_dir $dataset_dir \
--temp_dir $temp_dir --experiment_name $experiment_name
elif echo "$method" | grep -q "fedfgd"; then
python3 ./trainers/client_${method}_auto_diff_transformers_v2.py \
--dataset $dataset --model_name $model_name --random_seed $random_seed \
--cpu_simultaneous_clients $cpu_simultaneous_clients --gpu_simultaneous_clients $gpu_simultaneous_clients \
--checkpoint_interval $checkpoint_interval --num_clients $num_clients \
--total_clients $total_clients --rounds $rounds \
--dirichlet_distribution $dirichlet_distribution \
--epochs $epochs --batch_size $batch_size --lr $lr --max_seq_len $max_seq_len \
--peft_method $peft_method --lora_r $lora_r --lora_alpha $lora_alpha \
--perturbation_count $perturbation_count --perturbation_var $perturbation_var \
--no-fixed_seed --client_opt $client_opt --server_opt server_opt \
--checkpoint_dir $checkpoint_dir --dataset_dir $dataset_dir \
--temp_dir $temp_dir --experiment_name $experiment_name
elif echo "$method" | grep -q "baffle_plus"; then
python3 ./trainers/client_${method}.py \
--dataset $dataset --model_name $model_name --random_seed $random_seed \
--cpu_simultaneous_clients $cpu_simultaneous_clients --gpu_simultaneous_clients $gpu_simultaneous_clients \
--checkpoint_interval $checkpoint_interval --num_clients $num_clients \
--total_clients $total_clients --rounds $rounds \
--dirichlet_distribution $dirichlet_distribution \
--epochs $epochs --batch_size $batch_size --lr $lr --max_seq_len $max_seq_len \
--client_opt $client_opt \
--peft_method $peft_method --lora_r $lora_r --lora_alpha $lora_alpha \
--K $K --sigma $sigma --finite_difference_format $finite_difference_format\
--checkpoint_dir $checkpoint_dir --dataset_dir $dataset_dir \
--temp_dir $temp_dir --experiment_name $experiment_name
elif echo "$method" | grep -q "baffle"; then
python3 ./trainers/client_${method}.py \
--dataset $dataset --model_name $model_name --random_seed $random_seed \
--cpu_simultaneous_clients $cpu_simultaneous_clients --gpu_simultaneous_clients $gpu_simultaneous_clients \
--checkpoint_interval $checkpoint_interval --num_clients $num_clients \
--total_clients $total_clients --rounds $rounds \
--dirichlet_distribution $dirichlet_distribution \
--epochs $epochs --batch_size $batch_size --lr $lr --max_seq_len $max_seq_len \
--peft_method $peft_method --lora_r $lora_r --lora_alpha $lora_alpha \
--K $K --sigma $sigma --finite_difference_format $finite_difference_format\
--checkpoint_dir $checkpoint_dir --dataset_dir $dataset_dir \
--temp_dir $temp_dir --experiment_name $experiment_name
elif echo "$method" | grep -q "fwdllm_plus"; then
python3 -W ignore ./trainers/client_${method}.py \
--dataset $dataset --model_name $model_name --random_seed $random_seed \
--cpu_simultaneous_clients $cpu_simultaneous_clients --gpu_simultaneous_clients $gpu_simultaneous_clients \
--checkpoint_interval $checkpoint_interval --num_clients $num_clients \
--total_clients $total_clients --rounds $rounds \
--dirichlet_distribution $dirichlet_distribution \
--epochs $epochs --batch_size $batch_size --lr $lr --max_seq_len $max_seq_len \
--peft_method $peft_method --lora_r $lora_r --lora_alpha $lora_alpha \
--perturbation_count $perturbation_count --perturbation_var $perturbation_var \
--perturbation_scale $perturbation_scale --var_threshold $var_threshold \
--no-fixed_seed --client_opt $client_opt --server_opt server_opt \
--checkpoint_dir $checkpoint_dir --dataset_dir $dataset_dir \
--temp_dir $temp_dir --experiment_name $experiment_name
elif echo "$method" | grep -q "fwdllm"; then
python3 -W ignore ./trainers/client_${method}.py \
--dataset $dataset --model_name $model_name --random_seed $random_seed \
--cpu_simultaneous_clients $cpu_simultaneous_clients --gpu_simultaneous_clients $gpu_simultaneous_clients \
--checkpoint_interval $checkpoint_interval --num_clients $num_clients \
--total_clients $total_clients --rounds $rounds \
--dirichlet_distribution $dirichlet_distribution \
--epochs $epochs --batch_size $batch_size --lr $lr --max_seq_len $max_seq_len \
--peft_method $peft_method --lora_r $lora_r --lora_alpha $lora_alpha \
--perturbation_count $perturbation_count --perturbation_var $perturbation_var \
--perturbation_scale $perturbation_scale --var_threshold $var_threshold \
--no-fixed_seed --client_opt $client_opt --server_opt server_opt \
--checkpoint_dir $checkpoint_dir --dataset_dir $dataset_dir \
--temp_dir $temp_dir --experiment_name $experiment_name
elif echo "$method" | grep -q "fedavg"; then
python3 ./trainers/client_${method}_transformers_v2.py \
--dataset $dataset --model_name $model_name --random_seed $random_seed \
--cpu_simultaneous_clients $cpu_simultaneous_clients --gpu_simultaneous_clients $gpu_simultaneous_clients \
--checkpoint_interval $checkpoint_interval --num_clients $num_clients \
--total_clients $total_clients --rounds $rounds \
--dirichlet_distribution $dirichlet_distribution --client_opt $client_opt \
--epochs $epochs --batch_size $batch_size --lr $lr --max_seq_len $max_seq_len \
--peft_method $peft_method --lora_r $lora_r --lora_alpha $lora_alpha \
--checkpoint_dir $checkpoint_dir --dataset_dir $dataset_dir \
--temp_dir $temp_dir --experiment_name $experiment_name
elif echo "$method" | grep -q "fedyogi"; then
python3 ./trainers/client_${method}_transformers.py \
--dataset $dataset --model_name $model_name --random_seed $random_seed \
--cpu_simultaneous_clients $cpu_simultaneous_clients --gpu_simultaneous_clients $gpu_simultaneous_clients \
--checkpoint_interval $checkpoint_interval --num_clients $num_clients \
--total_clients $total_clients --rounds $rounds \
--dirichlet_distribution $dirichlet_distribution --client_opt $client_opt \
--epochs $epochs --batch_size $batch_size --lr $lr --max_seq_len $max_seq_len \
--peft_method $peft_method --lora_r $lora_r --lora_alpha $lora_alpha \
--checkpoint_dir $checkpoint_dir --dataset_dir $dataset_dir \
--temp_dir $temp_dir --experiment_name $experiment_name
fi