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Vilagil - Federated Learning
Comparative-Evaluation-of-Clustered-Federated-Learning-Methods
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a4a3cc01
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a4a3cc01
authored
7 months ago
by
Michael
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GitHub
7 months ago
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Update exp_configs.csv
Remove space before linear that induce error
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exp_configs.csv
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a4a3cc01
exp_type,dataset,nn_model,heterogeneity_type,num_clients,num_samples_by_label,num_clusters,centralized_epochs,federated_rounds,seed
exp_type,dataset,nn_model,heterogeneity_type,num_clients,num_samples_by_label,num_clusters,centralized_epochs,federated_rounds,seed
server,kmnist,
linear,concept-shift-on-labels,48,100,6,10,20,42
server,kmnist,linear,concept-shift-on-labels,48,100,6,10,20,42
server,fashion-mnist,
linear,concept-shift-on-labels,48,100,6,10,20,42
server,fashion-mnist,linear,concept-shift-on-labels,48,100,6,10,20,42
server,mnist,
linear,concept-shift-on-features,48,100,4,10,20,42
server,mnist,linear,concept-shift-on-features,48,100,4,10,20,42
server,kmnist,
linear,concept-shift-on-features,48,100,4,10,20,42
server,kmnist,linear,concept-shift-on-features,48,100,4,10,20,42
server,fashion-mnist,
linear,concept-shift-on-features,48,100,4,10,20,42
server,fashion-mnist,linear,concept-shift-on-features,48,100,4,10,20,42
server,mnist,
linear,labels-distribution-skew,48,100,4,10,20,42
server,mnist,linear,labels-distribution-skew,48,100,4,10,20,42
server,kmnist,
linear,labels-distribution-skew,48,100,4,10,20,42
server,kmnist,linear,labels-distribution-skew,48,100,4,10,20,42
server,fashion-mnist,
linear,labels-distribution-skew,48,100,4,10,20,42
server,fashion-mnist,linear,labels-distribution-skew,48,100,4,10,20,42
server,mnist,
linear,features-distribution-skew,48,100,3,10,20,42
server,mnist,linear,features-distribution-skew,48,100,3,10,20,42
server,kmnist,
linear,features-distribution-skew,48,100,3,10,20,42
server,kmnist,linear,features-distribution-skew,48,100,3,10,20,42
server,fashion-mnist,
linear,features-distribution-skew,48,100,3,10,20,42
server,fashion-mnist,linear,features-distribution-skew,48,100,3,10,20,42
server,mnist,
linear,quantity-skew,48,100,4,10,20,42
server,mnist,linear,quantity-skew,48,100,4,10,20,42
server,kmnist,
linear,quantity-skew,48,100,4,10,20,42
server,kmnist,linear,quantity-skew,48,100,4,10,20,42
server,fashion-mnist,
linear,quantity-skew,48,100,4,10,20,42
server,fashion-mnist,linear,quantity-skew,48,100,4,10,20,42
client,mnist,
linear,concept-shift-on-labels,48,100,6,10,20,42
client,mnist,linear,concept-shift-on-labels,48,100,6,10,20,42
client,kmnist,
linear,concept-shift-on-labels,48,100,6,10,20,42
client,kmnist,linear,concept-shift-on-labels,48,100,6,10,20,42
client,fashion-mnist,
linear,concept-shift-on-labels,48,100,6,10,20,42
client,fashion-mnist,linear,concept-shift-on-labels,48,100,6,10,20,42
client,mnist,
linear,concept-shift-on-features,48,100,4,10,20,42
client,mnist,linear,concept-shift-on-features,48,100,4,10,20,42
client,kmnist,
linear,concept-shift-on-features,48,100,4,10,20,42
client,kmnist,linear,concept-shift-on-features,48,100,4,10,20,42
client,fashion-mnist,
linear,concept-shift-on-features,48,100,4,10,20,42
client,fashion-mnist,linear,concept-shift-on-features,48,100,4,10,20,42
client,mnist,
linear,labels-distribution-skew,48,100,4,10,20,42
client,mnist,linear,labels-distribution-skew,48,100,4,10,20,42
client,kmnist,
linear,labels-distribution-skew,48,100,4,10,20,42
client,kmnist,linear,labels-distribution-skew,48,100,4,10,20,42
client,fashion-mnist,
linear,labels-distribution-skew,48,100,4,10,20,42
client,fashion-mnist,linear,labels-distribution-skew,48,100,4,10,20,42
client,mnist,
linear,features-distribution-skew,48,100,3,10,20,42
client,mnist,linear,features-distribution-skew,48,100,3,10,20,42
client,kmnist,
linear,features-distribution-skew,48,100,3,10,20,42
client,kmnist,linear,features-distribution-skew,48,100,3,10,20,42
client,fashion-mnist,
linear,features-distribution-skew,48,100,3,10,20,42
client,fashion-mnist,linear,features-distribution-skew,48,100,3,10,20,42
client,mnist,
linear,quantity-skew,48,100,4,10,20,42
client,mnist,linear,quantity-skew,48,100,4,10,20,42
client,kmnist,
linear,quantity-skew,48,100,4,10,20,42
client,kmnist,linear,quantity-skew,48,100,4,10,20,42
client,fashion-mnist,
linear,quantity-skew,48,100,4,10,20,42
client,fashion-mnist,linear,quantity-skew,48,100,4,10,20,42
global-federated,mnist,
linear,concept-shift-on-labels,48,100,6,10,50,42
global-federated,mnist,linear,concept-shift-on-labels,48,100,6,10,50,42
global-federated,kmnist,
linear,concept-shift-on-labels,48,100,6,10,50,42
global-federated,kmnist,linear,concept-shift-on-labels,48,100,6,10,50,42
global-federated,fashion-mnist,
linear,concept-shift-on-labels,48,100,6,10,50,42
global-federated,fashion-mnist,linear,concept-shift-on-labels,48,100,6,10,50,42
global-federated,mnist,
linear,concept-shift-on-features,48,100,4,10,50,42
global-federated,mnist,linear,concept-shift-on-features,48,100,4,10,50,42
global-federated,kmnist,
linear,concept-shift-on-features,48,100,4,10,50,42
global-federated,kmnist,linear,concept-shift-on-features,48,100,4,10,50,42
global-federated,fashion-mnist,
linear,concept-shift-on-features,48,100,4,10,50,42
global-federated,fashion-mnist,linear,concept-shift-on-features,48,100,4,10,50,42
global-federated,mnist,
linear,labels-distribution-skew,48,100,4,10,50,42
global-federated,mnist,linear,labels-distribution-skew,48,100,4,10,50,42
global-federated,kmnist,
linear,labels-distribution-skew,48,100,4,10,50,42
global-federated,kmnist,linear,labels-distribution-skew,48,100,4,10,50,42
global-federated,fashion-mnist,
linear,labels-distribution-skew,48,100,4,10,50,42
global-federated,fashion-mnist,linear,labels-distribution-skew,48,100,4,10,50,42
global-federated,mnist,
linear,features-distribution-skew,48,100,3,10,50,42
global-federated,mnist,linear,features-distribution-skew,48,100,3,10,50,42
global-federated,kmnist,
linear,features-distribution-skew,48,100,3,10,50,42
global-federated,kmnist,linear,features-distribution-skew,48,100,3,10,50,42
global-federated,fashion-mnist,
linear,features-distribution-skew,48,100,3,10,50,42
global-federated,fashion-mnist,linear,features-distribution-skew,48,100,3,10,50,42
global-federated,mnist,
linear,quantity-skew,48,100,4,10,50,42
global-federated,mnist,linear,quantity-skew,48,100,4,10,50,42
global-federated,kmnist,
linear,quantity-skew,48,100,4,10,50,42
global-federated,kmnist,linear,quantity-skew,48,100,4,10,50,42
global-federated,fashion-mnist,
linear,quantity-skew,48,100,4,10,50,42
global-federated,fashion-mnist,linear,quantity-skew,48,100,4,10,50,42
pers-centralized,mnist,
linear,concept-shift-on-labels,48,100,6,10,50,42
pers-centralized,mnist,linear,concept-shift-on-labels,48,100,6,10,50,42
pers-centralized,kmnist,
linear,concept-shift-on-labels,48,100,6,10,50,42
pers-centralized,kmnist,linear,concept-shift-on-labels,48,100,6,10,50,42
pers-centralized,fashion-mnist,
linear,concept-shift-on-labels,48,100,6,10,50,42
pers-centralized,fashion-mnist,linear,concept-shift-on-labels,48,100,6,10,50,42
pers-centralized,mnist,
linear,concept-shift-on-features,48,100,4,10,50,42
pers-centralized,mnist,linear,concept-shift-on-features,48,100,4,10,50,42
pers-centralized,kmnist,
linear,concept-shift-on-features,48,100,4,10,50,42
pers-centralized,kmnist,linear,concept-shift-on-features,48,100,4,10,50,42
pers-centralized,fashion-mnist,
linear,concept-shift-on-features,48,100,4,10,50,42
pers-centralized,fashion-mnist,linear,concept-shift-on-features,48,100,4,10,50,42
pers-centralized,mnist,
linear,labels-distribution-skew,48,100,4,10,50,42
pers-centralized,mnist,linear,labels-distribution-skew,48,100,4,10,50,42
pers-centralized,kmnist,
linear,labels-distribution-skew,48,100,4,10,50,42
pers-centralized,kmnist,linear,labels-distribution-skew,48,100,4,10,50,42
pers-centralized,fashion-mnist,
linear,labels-distribution-skew,48,100,4,10,50,42
pers-centralized,fashion-mnist,linear,labels-distribution-skew,48,100,4,10,50,42
pers-centralized,mnist,
linear,features-distribution-skew,48,100,3,10,50,42
pers-centralized,mnist,linear,features-distribution-skew,48,100,3,10,50,42
pers-centralized,kmnist,
linear,features-distribution-skew,48,100,3,10,50,42
pers-centralized,kmnist,linear,features-distribution-skew,48,100,3,10,50,42
pers-centralized,fashion-mnist,
linear,features-distribution-skew,48,100,3,10,50,42
pers-centralized,fashion-mnist,linear,features-distribution-skew,48,100,3,10,50,42
pers-centralized,mnist,
linear,quantity-skew,48,100,4,10,50,42
pers-centralized,mnist,linear,quantity-skew,48,100,4,10,50,42
pers-centralized,kmnist,
linear,quantity-skew,48,100,4,10,50,42
pers-centralized,kmnist,linear,quantity-skew,48,100,4,10,50,42
pers-centralized,fashion-mnist,
linear,quantity-skew,48,100,4,10,50,42
pers-centralized,fashion-mnist,linear,quantity-skew,48,100,4,10,50,42
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