Types & classes — github.com/Songyue-Guo/FedGR

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Types & classes29 in github.com/Songyue-Guo/FedGR

⨍ Functions 173◇ Types & classes 29

↓ 43 callersClassAverager

↓ 10 callersClassVGG

networks/basic_nets.py:203

↓ 5 callersClassResNet

6n + 2: 8, 14, 20, 26, 32, 38, 44, 50, 56

networks/basic_nets.py:343

↓ 5 callersClassReshape

networks/basic_nets.py:97

↓ 1 callersClassClassifyNet

networks/basic_nets.py:70

↓ 1 callersClassLeNet

networks/basic_nets.py:133

↓ 1 callersClassMLPNet

networks/basic_nets.py:105

↓ 1 callersClassMySGD

algorithms/perfedavg.py:29

↓ 1 callersClassNovaOptimizer

gmf: global momentum prox_mu: mu of proximal term ratio: client weight

algorithms/fednova.py:28

↓ 1 callersClassScaffoldOptimizer

algorithms/scaffold.py:18

↓ 1 callersClassScaffoldOptimizer

algorithms/scaffoldrs.py:28

↓ 1 callersClassSpreadModel

algorithms/fedaws.py:26

↓ 1 callersClassTFCNN

networks/basic_nets.py:171

↓ 1 callersClasspFedMeOptimizer

algorithms/pfedme.py:28

ClassBasicBlock

networks/basic_nets.py:306

algorithms/fedavg.py:25

algorithms/fedaws.py:46

algorithms/feddyn.py:30

/******* @ description: @ param {*} self @ param {Dictionary} csets : client_dataset {client:(train_set,test_set)} @ param {*

algorithms/fedgr.py:46

algorithms/fednova.py:144

algorithms/fedopt.py:25

algorithms/fedphp.py:29

algorithms/fedprox.py:28

algorithms/fedrs.py:28

algorithms/moon.py:19

algorithms/perfedavg.py:73

algorithms/scaffold.py:54

ClassScaffoldRS

algorithms/scaffoldrs.py:64

algorithms/pfedme.py:60