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Yangfan-Jiang / Federated-Learning-with-Differential-Privacy

Implementation of dp-based federated learning framework using PyTorch
MIT License
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I want to know how you determined the parameter q=0.01 #9

Open sherlock-CHN opened 7 months ago

sherlock-CHN commented 7 months ago

fl_param = { 'output_size': 10, 'client_num': client_num,

'model': MNIST_CNN,
'data': d,
'lr': lr,
'E': 200,
'C': 1,
'eps': 1.0,
'delta': 1e-5,
'q': 0.01,
'clip': 0.1,
'tot_T': 30,
'batch_size': 128,
'device': device

}