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Functions330 in github.com/WenkeHuang/FCCL

⨍ Functions 330◇ Types & classes 66

↓ 1 callersMethodget_normalization_transform

fccl+/datasets/officehome.py:116

↓ 1 callersMethodget_normalization_transform

fccl+/datasets/officecaltech.py:114

↓ 1 callersFunctionget_prive_dataset

(args: Namespace)

fccl+/datasets/__init__.py:30

↓ 1 callersFunctionget_public_dataset

(args: Namespace)

fccl+/datasets/__init__.py:35

↓ 1 callersMethodget_transform

fccl+/datasets/digits.py:139

↓ 1 callersMethodini

fccl+/models/moon.py:29

↓ 1 callersFunctionload_cifar100_data

fccl/Dataset/utils_dataset.py:60

↓ 1 callersFunctionload_each_acc_list

(structure_path, domain)

fccl+/analysis.py:51

↓ 1 callersFunctionload_fashionmnist_data

fccl/Dataset/utils_dataset.py:68

↓ 1 callersFunctionload_mean_acc_list

(structure_path, domain)

fccl+/analysis.py:18

↓ 1 callersFunctionmain

fccl+/main.py:71

↓ 1 callersFunctionmarginal_entropy

fccl/Idea/utils_idea.py:33

↓ 1 callersFunctionmkdirs

fccl/Dataset/utils_dataset.py:46

↓ 1 callersFunctionoff_diagonal

fccl/Idea/Ours/FCCL.py:60

↓ 1 callersFunctionparse_args

fccl+/main.py:29

↓ 1 callersFunctionpartition_digits_domain_skew_loaders

(train_datasets: list, test_datasets: list, setting: FederatedDataset

fccl+/datasets/utils/federated_dataset.py:130

↓ 1 callersMethodprint_dataset_statistics

fccl+/datasets/market1501.py:53

↓ 1 callersFunctionread_image

Keep reading image until succeed. This can avoid IOError incurred by heavy IO process.

fccl+/datasets/market1501.py:16

↓ 1 callersFunctionset_random_seed

Sets the seeds at a certain value. :param seed: the value to be set

fccl+/utils/conf.py:26

↓ 1 callersFunctiontest

fccl/Network/shufflenet.py:120

↓ 1 callersFunctiontest

fccl/Network/efficientnet.py:161

↓ 1 callersFunctiontrain

(model: FederatedModel, public_dataset: PublicDataset, private_dataset: FederatedDataset, args: Name

fccl+/utils/training.py:78

↓ 1 callersFunctionupdate_model_via_private_data

(network,private_epoch,private_dataloader,loss_function,optimizer_method,learing_rate,logger)

fccl/Idea/utils_idea.py:145

↓ 1 callersFunctionupdate_model_via_private_data_with_two_model

(network,frozen_network,progressive_network,temperature,private_epoch,private_dataloader,loss_function,optimiz

fccl/Idea/utils_idea.py:218

↓ 1 callersMethodwrite_acc

(self, intra_accs_dict, inter_accs_dict, mean_intra_acc_list, mean_inter_acc_list)

fccl+/utils/logger.py:35

FunctionEfficientNetB0

(num_classes=10)

fccl+/backbone/efficientnet.py:178

FunctionResNet101

fccl/Network/resnet.py:124

FunctionResNet152

fccl/Network/resnet.py:128

FunctionResNet18

fccl/Network/resnet.py:112

FunctionResNet34

fccl/Network/resnet.py:116

FunctionResNet50

fccl/Network/resnet.py:120

FunctionShuffleNetG2

fccl+/backbone/shufflenet.py:103

FunctionShuffleNetG3

fccl/Network/shufflenet.py:111

FunctionShuffleNetG3

fccl+/backbone/shufflenet.py:111

Args: tensor (Tensor): Tensor image of size (C, H, W) to be normalized. Returns: Tensor: Normalized image.

fccl+/datasets/transforms/denormalization.py:8

Method__getitem__

fccl/Dataset/init_dataset.py:36

Method__getitem__

fccl/Dataset/init_dataset.py:69

Method__getitem__

fccl/Dataset/init_dataset.py:102

Method__getitem__

fccl/Dataset/init_dataset.py:136

Method__getitem__

fccl/Dataset/init_dataset.py:169

Method__getitem__

fccl/Dataset/init_dataset.py:204

Method__getitem__

(self, index: int)

fccl+/datasets/cifar100.py:17

Method__getitem__

fccl+/datasets/office31.py:39

Method__getitem__

fccl+/datasets/fashion_mnist.py:38

Method__getitem__

(self, index: int)

fccl+/datasets/digits.py:38

Method__getitem__

fccl+/datasets/digits.py:62

Method__getitem__

fccl+/datasets/market1501.py:85

Method__getitem__

fccl+/datasets/officehome.py:38

Method__getitem__

fccl+/datasets/officecaltech.py:38

Method__getitem__

fccl+/datasets/tinyimagenet.py:41

Method__getitem__

fccl+/datasets/tinyimagenet.py:64

(self, student, teacher)

fccl/Idea/_base.py:7

(self, num_classes=10)

fccl/Network/mobilnet_v2.py:49

fccl/Network/shufflenet.py:10

fccl/Network/shufflenet.py:51

(self, in_channels, out_channels, kernel_size,

fccl/Network/efficientnet.py:40

(self, cfg, num_classes=10)

fccl/Network/efficientnet.py:102

(self, in_planes, planes, stride=1)

fccl/Network/resnet.py:15

(self, in_planes, planes, stride=1)

fccl/Network/resnet.py:43

(self,num_classes=10)

fccl/Network/googlenet.py:57

(self,root,dataidxs=None,train=True,transform=None, target_transform=None, download=False)

fccl/Dataset/init_dataset.py:14

(self,root,dataidxs=None,train=True,transform=None, target_transform=None, download=False)

fccl/Dataset/init_dataset.py:47

(self,root,dataidxs=None,train=True,transform=None, target_transform=None, download=False)

fccl/Dataset/init_dataset.py:80

(self,root,dataidxs=None,train=True,transform=None, target_transform=None, download=False)

fccl/Dataset/init_dataset.py:114

(self,root,dataidxs=None,train=True,transform=None, target_transform=None, download=False)

fccl/Dataset/init_dataset.py:147

(self,root,dataidxs=None,train='train',transform=None, target_transform=None, download=False)

fccl/Dataset/init_dataset.py:180

(self, num_classes=10)

fccl+/backbone/mobilnet_v2.py:49

Instantiates the basic block of the network. :param in_planes: the number of input channels :param planes: the number of chan

fccl+/backbone/ResNet.py:26

fccl+/backbone/shufflenet.py:10

fccl+/backbone/shufflenet.py:51

(self, in_channels, out_channels, kernel_size,

fccl+/backbone/efficientnet.py:40

(self, cfg, num_classes=10)

fccl+/backbone/efficientnet.py:102

(self,num_classes=10)

fccl+/backbone/googlenet.py:57

(self, args, private_dataset)

fccl+/utils/logger.py:12

(self, temperature=0.07, contrast_mode='all', base_temperature=0.07, reduction='mean')

fccl+/utils/supcon.py:10

(self, root, train=True, transform=None, target_transform=None, download=False)

fccl+/datasets/cifar100.py:11

(self, data_name, root, train=True, transform=None, target_transform=None,subset_train_num=7,subset_capacity=1

fccl+/datasets/office31.py:13

(self, root, dataidxs=None, train=True, transform=None, target_transform=None, download=False)

fccl+/datasets/fashion_mnist.py:14

(self, root, train=True, transform=None, target_transform=None, download=False, data_name=Non

fccl+/datasets/digits.py:15

(self, data_name, root, train=True, transform=None, target_transform=None)

fccl+/datasets/digits.py:51

(self, dataset, transform=None)

fccl+/datasets/market1501.py:78

(self, root='', verbose=True, pid_begin=0, **kwargs)

fccl+/datasets/market1501.py:107

(self, data_name, root, train=True, transform=None, target_transform=None,subset_train_num=7,subset_capacity=1

fccl+/datasets/officehome.py:12

(self, data_name, root, train=True, transform=None, target_transform=None,subset_train_num=7,subset_capacity=1

fccl+/datasets/officecaltech.py:12

(self, root, train=True, transform=None, target_transform=None, download=False)

fccl+/datasets/tinyimagenet.py:58

Initializes the train and test lists of dataloaders. :param args: the arguments which contains the hyperparameters

fccl+/datasets/utils/federated_dataset.py:22

Initializes the train and test lists of dataloaders. :param args: the arguments which contains the hyperparameters

fccl+/datasets/utils/public_dataset.py:18

(self, mean, std)

fccl+/datasets/transforms/denormalization.py:4

(self, nets_list, args, transform)

fccl+/models/fedavg.py:22

(self, nets_list, args, transform)

fccl+/models/moon.py:23

(self, nets_list, args, transform)

fccl+/models/feddf.py:26

(self, nets_list,args, transform)

fccl+/models/fccl.py:27

(self, nets_list,args, transform)

fccl+/models/fedprox.py:22

(self, nets_list, args, transform)

fccl+/models/fcclplus.py:28

(self,nets_list:list, args: Namespace, transform: torchvision.transforms)

fccl+/models/utils/federated_model.py:18

fccl/Dataset/init_dataset.py:43

fccl/Dataset/init_dataset.py:76

fccl/Dataset/init_dataset.py:109

fccl/Dataset/init_dataset.py:143

fccl/Dataset/init_dataset.py:176

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