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Functions933 in github.com/FederatedAI/research

⨍ Functions 933◇ Types & classes 151↳ Endpoints 2
Methodsource_classifier_parameters
(self)
publications/PrADA/models/dann_models.py:304
Functionsplit_data_based_on_year
(data)
publications/PrADA/data_process/census_process/census_degree_process_utils.py:46
Methodstatus_page
()
datasets/federated_object_detection_benchmark/fl_server.py:177
Functionstore_domain_data
(domain_data_dict, domain_data, domain_col_list, is_cat)
publications/PrADA/experiments/ppd_loan/train_ppd_no_fg_adapt_pretrain.py:16
Functiontest_roi_module
()
datasets/federated_object_detection_benchmark/model/roi_module.py:88
Functiontest_run
()
datasets/Fed_Multiview_Gen/main.py:35
Functiontonumpy
(data)
datasets/federated_object_detection_benchmark/utils/array_tool.py:8
Functiontotensor
(data, cuda=True)
datasets/federated_object_detection_benchmark/utils/array_tool.py:15
Methodtrain_discriminator
(x, y, z)
publications/FedCG/clients/fedcg_w.py:208
Methodtrain_discriminator
(x, y, z)
publications/FedCG/clients/fedcg.py:201
Methodtrain_generator_with_diversity
(y, z)
publications/FedCG/clients/fedcg_w.py:226
Methodtrain_generator_with_diversity
(y, z)
publications/FedCG/clients/fedcg.py:219
Methodtrain_one_epoch
Return: total_loss: the total loss during training accuracy: the mAP
datasets/federated_object_detection_benchmark/model/model_wrapper.py:201
Functiontranslate_bbox
Translate bounding boxes. This method is mainly used together with image transforms, such as padding and cropping, which translates the left
datasets/federated_object_detection_benchmark/data/util.py:206
Methodtranspose_transform
(self, x)
publications/PrADA/models/classifier.py:14
Functionunregister
()
datasets/Fed_Multiview_Gen/blender-off-addon/import_off.py:175
Methodupdate
(self, val, n)
publications/FedCG/utils.py:36
Methodupdate_alpha
(self, input_valid, U_B_valid, target_valid)
publications/ss_vfnas/architects/architect_two_party_preg.py:39
Methodupdate_alpha
(self, U_B_val, U_B_gradients)
publications/ss_vfnas/architects/architect_two_party_preg.py:96
Methodupdate_alpha
(self, input_valid, U_B_valid, target_valid)
publications/ss_vfnas/architects/architect_two_party.py:20
Methodupdate_alpha
(self, U_B_val, U_B_gradients)
publications/ss_vfnas/architects/architect_two_party.py:49
Methodupdate_alpha
(self, U_B_val, U_B_gradients)
publications/ss_vfnas/architects/architect_k_party.py:58
Methodupdate_alpha
(self, U_B_train, U_B_train_gradients, U_B_val, U_B_valid_gradients)
publications/ss_vfnas/architects/architect_k_party_milenas.py:61
Methodupdate_weights
(self, input_train, U_B_train, target_train, weights_optim, grad_clip)
publications/ss_vfnas/architects/architect_two_party_preg.py:52
Methodupdate_weights
(self, U_B_train, U_B_gradients, weights_optim, grad_clip)
publications/ss_vfnas/architects/architect_two_party_preg.py:105
Methodupdate_weights
(self, input_train, U_B_train, target_train, weights_optim, grad_clip)
publications/ss_vfnas/architects/architect_two_party.py:29
Methodupdate_weights
(self, U_B_train, U_B_gradients, weights_optim, grad_clip)
publications/ss_vfnas/architects/architect_two_party.py:56
Methodupdate_weights
(self, U_B_train, U_B_gradients, weights_optim, grad_clip)
publications/ss_vfnas/architects/architect_k_party.py:65
Methodupdate_weights
(self, U_B_train, U_B_gradients, weights_optim, grad_clip)
publications/ss_vfnas/architects/architect_k_party_milenas.py:74
Methodvalidate
In the current version, the validate dataset hasn't been set, so we use the first 500 samples of testing set instead.
datasets/federated_object_detection_benchmark/model/model_wrapper.py:257
Functionvisdom_bbox
(*args, **kwargs)
datasets/federated_object_detection_benchmark/utils/vis_tool.py:163
Functionweights_init
(m)
publications/FedCG/utils.py:46
Functionweights_init_normal
(m)
datasets/federated_object_detection_benchmark/utils/utils.py:27
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