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Functions933 in github.com/FederatedAI/research

Methodload_client
(self)
publications/FedCG/clients/feddf.py:55
Methodload_client
(self)
publications/FedCG/clients/fedprox.py:57
Functionload_dann_experiment_result
(root, task_id, timestamp=None)
publications/PrADA/utils.py:69
Methodload_model
(self, model_dict)
publications/PrADA/models/interaction_models.py:32
Methodload_model
(self, model_dict)
publications/PrADA/models/interaction_models.py:195
Methodload_model
(self, model_dict)
publications/PrADA/models/dann_models.py:538
Methodlocal_test
(self)
publications/FedCG/clients/fedgen.py:81
Methodlocal_test
(self)
publications/FedCG/clients/fedsplit.py:80
Methodlocal_test
(self)
publications/FedCG/clients/fedavg.py:80
Methodlocal_test
(self)
publications/FedCG/clients/fedcg_w.py:102
Methodlocal_test
(self)
publications/FedCG/clients/fedcg.py:102
Methodlocal_test
(self)
publications/FedCG/clients/feddf.py:80
Methodlocal_test
(self)
publications/FedCG/clients/fedprox.py:82
Methodlocal_train
(self, current_round)
publications/FedCG/clients/fedgen.py:109
Methodlocal_train
(self, current_round)
publications/FedCG/clients/fedsplit.py:108
Methodlocal_train
(self, current_round)
publications/FedCG/clients/fedavg.py:108
Methodlocal_train
(self, current_round)
publications/FedCG/clients/fedcg_w.py:130
Methodlocal_train
(self, current_round)
publications/FedCG/clients/fedcg.py:130
Methodlocal_train
(self, current_round)
publications/FedCG/clients/feddf.py:108
Methodlocal_train
(self, current_round)
publications/FedCG/clients/fedprox.py:110
Functionmake_txt
()
datasets/federated_object_detection_benchmark/data/data_utils.py:45
Functionmenu_func_export
(self, context)
datasets/Fed_Multiview_Gen/blender-off-addon/import_off.py:167
Functionmenu_func_import
(self, context)
datasets/Fed_Multiview_Gen/blender-off-addon/import_off.py:164
Functionmerge_test
()
datasets/federated_object_detection_benchmark/data/data_utils.py:21
Methodn_class
(self)
datasets/federated_object_detection_benchmark/model/faster_rcnn.py:86
Methodnew
(self)
publications/ss_vfnas/models/model_search_k_party_chexpert.py:97
Methodnew
(self)
publications/ss_vfnas/models/model_search_k_party_chexpert.py:213
Methodnew
(self, requires_grad=True)
publications/ss_vfnas/models/model_search_k_party_moco.py:98
Methodnew
(self, requires_grad=True)
publications/ss_vfnas/models/model_search_k_party_moco.py:220
Methodnew
(self)
publications/ss_vfnas/models/model_search_k_party_dp.py:97
Methodnew
(self)
publications/ss_vfnas/models/model_search_k_party_dp.py:204
Methodnew
(self)
publications/ss_vfnas/models/model_search_k_party.py:98
Methodnew
(self)
publications/ss_vfnas/models/model_search_k_party.py:207
Functionnew_f
(*args,**kwargs)
datasets/federated_object_detection_benchmark/model/faster_rcnn.py:17
Functionnograd
(f)
datasets/federated_object_detection_benchmark/model/faster_rcnn.py:16
Methodon_check_client_resource
(*args)
datasets/federated_object_detection_benchmark/fl_client.py:198
Methodon_connect
()
datasets/federated_object_detection_benchmark/fl_client.py:119
Methodon_disconnect
()
datasets/federated_object_detection_benchmark/fl_client.py:122
Methodon_init
(self, request)
datasets/federated_object_detection_benchmark/fl_client.py:99
Methodon_reconnect
()
datasets/federated_object_detection_benchmark/fl_client.py:125
Methodon_request_update
(*args)
datasets/federated_object_detection_benchmark/fl_client.py:128
Methodon_stop_and_eval
(*args)
datasets/federated_object_detection_benchmark/fl_client.py:172
Methodparameters
(self)
publications/PrADA/models/interaction_models.py:41
Methodparameters
(self)
publications/PrADA/models/dann_models.py:610
Functionparse_data_config
Parses the data configuration file
datasets/federated_object_detection_benchmark/utils/parse_config.py:22
Functionparse_str
(genotype_file)
publications/ss_vfnas/genotypes.py:91
Functionpartition_data
(data)
publications/PrADA/experiments/ppd_loan/train_ppd_no_fg_adapt_pretrain.py:44
Functionpartition_data
partition data into party C and party A(B). Data in party C is partitioned into group
publications/PrADA/experiments/ppd_loan/train_ppd_fg_adapt_pretrain.py:50
Functionpartition_data
(data)
publications/PrADA/experiments/income_census/train_census_fg_adapt_pretrain.py:14
Functionpartition_data
(data)
publications/PrADA/experiments/income_census/train_census_no_fg_adapt_pretrain.py:15
Methodplot_many
plot multi values @params d: dict (name,value) i.e. ('loss',0.11)
datasets/federated_object_detection_benchmark/utils/vis_tool.py:192
Methodprint_parameters
(self)
publications/PrADA/models/dann_models.py:594
Functionproduce_data_for_lr_shap
produce data for LR SHAP
publications/PrADA/utils.py:179
Functionpytorch_normalze
https://github.com/pytorch/vision/issues/223 return appr -1~1 RGB
datasets/federated_object_detection_benchmark/data/dataset.py:20
Functionrandom_flip
Randomly flip an image in vertical or horizontal direction. Args: img (~numpy.ndarray): An array that gets flipped. This is in
datasets/federated_object_detection_benchmark/data/util.py:240
Functionrandom_resize
(images, min_size=288, max_size=448)
datasets/federated_object_detection_benchmark/utils/datasets.py:33
Methodreceive
(self, models)
publications/FedCG/servers/fedgen.py:70
Methodreceive
(self, models)
publications/FedCG/servers/fedsplit.py:67
Methodreceive
(self, models)
publications/FedCG/servers/fedavg.py:68
Methodreceive
(self, models)
publications/FedCG/servers/feddf.py:73
Methodreceive
(self, models)
publications/FedCG/servers/fedprox.py:68
Methodreinit
change the config of visdom
datasets/federated_object_detection_benchmark/utils/vis_tool.py:185
Functionrescale_boxes
Rescales bounding boxes to the original shape
datasets/federated_object_detection_benchmark/utils/utils.py:36
Functionresize_bbox
Resize bounding boxes according to image resize. The bounding boxes are expected to be packed into a two dimensional tensor of shape :math:`(
datasets/federated_object_detection_benchmark/data/util.py:44
Functionsample_data
(data, num_samples=32561)
publications/PrADA/data_process/census_process/census_degree_process_utils.py:52
Functionsample_data_v2
(data, num_samples=32561)
publications/PrADA/data_process/census_process/census_degree_process_utils.py:73
Functionsample_data_v3
(data, pos_num_samples, neg_num_samples)
publications/PrADA/data_process/census_process/census_degree_process_utils.py:93
Functionsave
(model, model_path)
publications/ss_vfnas/utils.py:96
Functionsave_checkpoint
(state, is_best, save)
publications/ss_vfnas/utils.py:88
Methodsave_client
(self)
publications/FedCG/servers/fedgen.py:62
Methodsave_client
(self)
publications/FedCG/servers/fedsplit.py:59
Methodsave_client
(self)
publications/FedCG/servers/fedavg.py:60
Methodsave_client
(self)
publications/FedCG/servers/fedcg.py:64
Methodsave_client
(self)
publications/FedCG/servers/feddf.py:66
Methodsave_client
(self)
publications/FedCG/servers/fedprox.py:60
Methodsave_client
(self)
publications/FedCG/clients/fedgen.py:49
Methodsave_client
(self)
publications/FedCG/clients/fedsplit.py:49
Methodsave_client
(self)
publications/FedCG/clients/local.py:49
Methodsave_client
(self)
publications/FedCG/clients/fedavg.py:49
Methodsave_client
(self)
publications/FedCG/clients/fedcg_w.py:50
Methodsave_client
(self)
publications/FedCG/clients/fedcg.py:50
Methodsave_client
(self)
publications/FedCG/clients/feddf.py:49
Methodsave_client
(self)
publications/FedCG/clients/fedprox.py:51
Methodsave_darknet_weights
@:param path - path of the new weights file @:param cutoff - save layers between 0 and cutoff (cutoff = -1 -> all are sav
datasets/federated_object_detection_benchmark/model/yolo.py:321
Functionsave_df_data
(df_data, file_full_name)
publications/PrADA/data_process/data_process_utils.py:5
Methodsave_model
(self, model_root, appendix)
publications/PrADA/models/interaction_models.py:35
Methodsave_model
(self, model_root, appendix)
publications/PrADA/models/interaction_models.py:214
Methodsave_model
Save trained model.
publications/PrADA/models/dann_models.py:151
Methodsave_model
(self, model_root, appendix)
publications/PrADA/models/dann_models.py:551
Functionscalar
(data)
datasets/federated_object_detection_benchmark/utils/array_tool.py:25
Methodscale_lr
(self, decay=0.1)
datasets/federated_object_detection_benchmark/model/faster_rcnn.py:290
Functionselftrain
()
publications/ss_vfnas/log_plot.py:440
Methodsend
(self, models)
publications/FedCG/servers/fedgen.py:83
Methodsend
(self, models)
publications/FedCG/servers/fedsplit.py:81
Methodsend
(self, models)
publications/FedCG/servers/fedavg.py:81
Methodsend
(self, models)
publications/FedCG/servers/feddf.py:86
Methodsend
(self, models)
publications/FedCG/servers/fedprox.py:82
Methodset_weights
(self, parameters)
datasets/federated_object_detection_benchmark/model/model_wrapper.py:77
Methodset_weights
(self, parameters)
datasets/federated_object_detection_benchmark/model/model_wrapper.py:196
Functionshow_dir
()
datasets/federated_object_detection_benchmark/data/data_utils.py:6
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